Modeling pulse propagation in fiber optical parametric amplifier by a long short-term memory network

The ultrashort pulse evolution in fiber optical parametric amplifier (FOPA) systems is a highly complex nonlinear dynamic. Here, the long short-term memory network (LSTM) is applied to predicting the pulse propagation of signal waves in the FOPA system, rather than calculating the nonlinear Schrödin...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Sui, Hao [verfasserIn] Zhu, Hongna [verfasserIn] Wu, Jing [verfasserIn] Luo, Bin [verfasserIn] Taccheo, Stefano [verfasserIn] Zou, Xihua [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	Fiber optical parametric amplifiers Long short-term memory network Optical pulse propagation Nonlinear Schrödinger equation

Übergeordnetes Werk:	Enthalten in: Optik - München : Elsevier, 2001, 260
Übergeordnetes Werk:	volume:260

DOI / URN:	10.1016/j.ijleo.2022.169125

Katalog-ID:	ELV007844387

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520			\|a The ultrashort pulse evolution in fiber optical parametric amplifier (FOPA) systems is a highly complex nonlinear dynamic. Here, the long short-term memory network (LSTM) is applied to predicting the pulse propagation of signal waves in the FOPA system, rather than calculating the nonlinear Schrödinger equation (NLSE) numerically. The LSTM network only requires the initial signal power waveform, and the signal pulse propagation is realized in the feedback loop. Besides, we focus on predicting the evolution of signal pulse by varying the initial signal power and the initial signal pulse width to test the performance of our proposed method. The predictions of the LSTM network show great consistency with the NLSE results in each propagation stage of two cases, which reveal that the signal pulse evolution in FOPA is achieved precisely. The realization reduces the computational burden and further gives an effective way to optimize and guide the experiment and application in the FOPA systems.
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author_variant	h s hs h z hz j w jw b l bl s t st x z xz
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allfields	10.1016/j.ijleo.2022.169125 doi (DE-627)ELV007844387 (ELSEVIER)S0030-4026(22)00487-9 DE-627 ger DE-627 rda eng 620 DE-600 33.18 bkl 33.38 bkl 50.37 bkl 53.54 bkl 53.75 bkl 42.03 bkl Sui, Hao verfasserin aut Modeling pulse propagation in fiber optical parametric amplifier by a long short-term memory network 2022 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The ultrashort pulse evolution in fiber optical parametric amplifier (FOPA) systems is a highly complex nonlinear dynamic. Here, the long short-term memory network (LSTM) is applied to predicting the pulse propagation of signal waves in the FOPA system, rather than calculating the nonlinear Schrödinger equation (NLSE) numerically. The LSTM network only requires the initial signal power waveform, and the signal pulse propagation is realized in the feedback loop. Besides, we focus on predicting the evolution of signal pulse by varying the initial signal power and the initial signal pulse width to test the performance of our proposed method. The predictions of the LSTM network show great consistency with the NLSE results in each propagation stage of two cases, which reveal that the signal pulse evolution in FOPA is achieved precisely. The realization reduces the computational burden and further gives an effective way to optimize and guide the experiment and application in the FOPA systems. Fiber optical parametric amplifiers Long short-term memory network Optical pulse propagation Nonlinear Schrödinger equation Zhu, Hongna verfasserin aut Wu, Jing verfasserin aut Luo, Bin verfasserin aut Taccheo, Stefano verfasserin aut Zou, Xihua verfasserin aut Enthalten in Optik München : Elsevier, 2001 260 Online-Ressource (DE-627)325791988 (DE-600)2040037-8 (DE-576)094480680 1618-1336 nnns volume:260 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2025 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2153 GBV_ILN_2336 GBV_ILN_2522 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 33.18 Optik 33.38 Quantenoptik nichtlineare Optik 50.37 Technische Optik 53.54 Optoelektronik 53.75 Optische Nachrichtentechnik 42.03 Methoden und Techniken der Biologie AR 260
spelling	10.1016/j.ijleo.2022.169125 doi (DE-627)ELV007844387 (ELSEVIER)S0030-4026(22)00487-9 DE-627 ger DE-627 rda eng 620 DE-600 33.18 bkl 33.38 bkl 50.37 bkl 53.54 bkl 53.75 bkl 42.03 bkl Sui, Hao verfasserin aut Modeling pulse propagation in fiber optical parametric amplifier by a long short-term memory network 2022 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The ultrashort pulse evolution in fiber optical parametric amplifier (FOPA) systems is a highly complex nonlinear dynamic. Here, the long short-term memory network (LSTM) is applied to predicting the pulse propagation of signal waves in the FOPA system, rather than calculating the nonlinear Schrödinger equation (NLSE) numerically. The LSTM network only requires the initial signal power waveform, and the signal pulse propagation is realized in the feedback loop. Besides, we focus on predicting the evolution of signal pulse by varying the initial signal power and the initial signal pulse width to test the performance of our proposed method. The predictions of the LSTM network show great consistency with the NLSE results in each propagation stage of two cases, which reveal that the signal pulse evolution in FOPA is achieved precisely. The realization reduces the computational burden and further gives an effective way to optimize and guide the experiment and application in the FOPA systems. Fiber optical parametric amplifiers Long short-term memory network Optical pulse propagation Nonlinear Schrödinger equation Zhu, Hongna verfasserin aut Wu, Jing verfasserin aut Luo, Bin verfasserin aut Taccheo, Stefano verfasserin aut Zou, Xihua verfasserin aut Enthalten in Optik München : Elsevier, 2001 260 Online-Ressource (DE-627)325791988 (DE-600)2040037-8 (DE-576)094480680 1618-1336 nnns volume:260 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2025 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2153 GBV_ILN_2336 GBV_ILN_2522 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 33.18 Optik 33.38 Quantenoptik nichtlineare Optik 50.37 Technische Optik 53.54 Optoelektronik 53.75 Optische Nachrichtentechnik 42.03 Methoden und Techniken der Biologie AR 260
allfields_unstemmed	10.1016/j.ijleo.2022.169125 doi (DE-627)ELV007844387 (ELSEVIER)S0030-4026(22)00487-9 DE-627 ger DE-627 rda eng 620 DE-600 33.18 bkl 33.38 bkl 50.37 bkl 53.54 bkl 53.75 bkl 42.03 bkl Sui, Hao verfasserin aut Modeling pulse propagation in fiber optical parametric amplifier by a long short-term memory network 2022 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The ultrashort pulse evolution in fiber optical parametric amplifier (FOPA) systems is a highly complex nonlinear dynamic. Here, the long short-term memory network (LSTM) is applied to predicting the pulse propagation of signal waves in the FOPA system, rather than calculating the nonlinear Schrödinger equation (NLSE) numerically. The LSTM network only requires the initial signal power waveform, and the signal pulse propagation is realized in the feedback loop. Besides, we focus on predicting the evolution of signal pulse by varying the initial signal power and the initial signal pulse width to test the performance of our proposed method. The predictions of the LSTM network show great consistency with the NLSE results in each propagation stage of two cases, which reveal that the signal pulse evolution in FOPA is achieved precisely. The realization reduces the computational burden and further gives an effective way to optimize and guide the experiment and application in the FOPA systems. Fiber optical parametric amplifiers Long short-term memory network Optical pulse propagation Nonlinear Schrödinger equation Zhu, Hongna verfasserin aut Wu, Jing verfasserin aut Luo, Bin verfasserin aut Taccheo, Stefano verfasserin aut Zou, Xihua verfasserin aut Enthalten in Optik München : Elsevier, 2001 260 Online-Ressource (DE-627)325791988 (DE-600)2040037-8 (DE-576)094480680 1618-1336 nnns volume:260 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2025 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2153 GBV_ILN_2336 GBV_ILN_2522 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 33.18 Optik 33.38 Quantenoptik nichtlineare Optik 50.37 Technische Optik 53.54 Optoelektronik 53.75 Optische Nachrichtentechnik 42.03 Methoden und Techniken der Biologie AR 260
allfieldsGer	10.1016/j.ijleo.2022.169125 doi (DE-627)ELV007844387 (ELSEVIER)S0030-4026(22)00487-9 DE-627 ger DE-627 rda eng 620 DE-600 33.18 bkl 33.38 bkl 50.37 bkl 53.54 bkl 53.75 bkl 42.03 bkl Sui, Hao verfasserin aut Modeling pulse propagation in fiber optical parametric amplifier by a long short-term memory network 2022 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The ultrashort pulse evolution in fiber optical parametric amplifier (FOPA) systems is a highly complex nonlinear dynamic. Here, the long short-term memory network (LSTM) is applied to predicting the pulse propagation of signal waves in the FOPA system, rather than calculating the nonlinear Schrödinger equation (NLSE) numerically. The LSTM network only requires the initial signal power waveform, and the signal pulse propagation is realized in the feedback loop. Besides, we focus on predicting the evolution of signal pulse by varying the initial signal power and the initial signal pulse width to test the performance of our proposed method. The predictions of the LSTM network show great consistency with the NLSE results in each propagation stage of two cases, which reveal that the signal pulse evolution in FOPA is achieved precisely. The realization reduces the computational burden and further gives an effective way to optimize and guide the experiment and application in the FOPA systems. Fiber optical parametric amplifiers Long short-term memory network Optical pulse propagation Nonlinear Schrödinger equation Zhu, Hongna verfasserin aut Wu, Jing verfasserin aut Luo, Bin verfasserin aut Taccheo, Stefano verfasserin aut Zou, Xihua verfasserin aut Enthalten in Optik München : Elsevier, 2001 260 Online-Ressource (DE-627)325791988 (DE-600)2040037-8 (DE-576)094480680 1618-1336 nnns volume:260 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2025 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2153 GBV_ILN_2336 GBV_ILN_2522 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 33.18 Optik 33.38 Quantenoptik nichtlineare Optik 50.37 Technische Optik 53.54 Optoelektronik 53.75 Optische Nachrichtentechnik 42.03 Methoden und Techniken der Biologie AR 260
allfieldsSound	10.1016/j.ijleo.2022.169125 doi (DE-627)ELV007844387 (ELSEVIER)S0030-4026(22)00487-9 DE-627 ger DE-627 rda eng 620 DE-600 33.18 bkl 33.38 bkl 50.37 bkl 53.54 bkl 53.75 bkl 42.03 bkl Sui, Hao verfasserin aut Modeling pulse propagation in fiber optical parametric amplifier by a long short-term memory network 2022 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The ultrashort pulse evolution in fiber optical parametric amplifier (FOPA) systems is a highly complex nonlinear dynamic. Here, the long short-term memory network (LSTM) is applied to predicting the pulse propagation of signal waves in the FOPA system, rather than calculating the nonlinear Schrödinger equation (NLSE) numerically. The LSTM network only requires the initial signal power waveform, and the signal pulse propagation is realized in the feedback loop. Besides, we focus on predicting the evolution of signal pulse by varying the initial signal power and the initial signal pulse width to test the performance of our proposed method. The predictions of the LSTM network show great consistency with the NLSE results in each propagation stage of two cases, which reveal that the signal pulse evolution in FOPA is achieved precisely. The realization reduces the computational burden and further gives an effective way to optimize and guide the experiment and application in the FOPA systems. Fiber optical parametric amplifiers Long short-term memory network Optical pulse propagation Nonlinear Schrödinger equation Zhu, Hongna verfasserin aut Wu, Jing verfasserin aut Luo, Bin verfasserin aut Taccheo, Stefano verfasserin aut Zou, Xihua verfasserin aut Enthalten in Optik München : Elsevier, 2001 260 Online-Ressource (DE-627)325791988 (DE-600)2040037-8 (DE-576)094480680 1618-1336 nnns volume:260 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2025 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2153 GBV_ILN_2336 GBV_ILN_2522 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 33.18 Optik 33.38 Quantenoptik nichtlineare Optik 50.37 Technische Optik 53.54 Optoelektronik 53.75 Optische Nachrichtentechnik 42.03 Methoden und Techniken der Biologie AR 260
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topic_facet	Fiber optical parametric amplifiers Long short-term memory network Optical pulse propagation Nonlinear Schrödinger equation
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authorswithroles_txt_mv	Sui, Hao @@aut@@ Zhu, Hongna @@aut@@ Wu, Jing @@aut@@ Luo, Bin @@aut@@ Taccheo, Stefano @@aut@@ Zou, Xihua @@aut@@
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author	Sui, Hao
spellingShingle	Sui, Hao ddc 620 bkl 33.18 bkl 33.38 bkl 50.37 bkl 53.54 bkl 53.75 bkl 42.03 misc Fiber optical parametric amplifiers misc Long short-term memory network misc Optical pulse propagation misc Nonlinear Schrödinger equation Modeling pulse propagation in fiber optical parametric amplifier by a long short-term memory network
authorStr	Sui, Hao
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topic_title	620 DE-600 33.18 bkl 33.38 bkl 50.37 bkl 53.54 bkl 53.75 bkl 42.03 bkl Modeling pulse propagation in fiber optical parametric amplifier by a long short-term memory network Fiber optical parametric amplifiers Long short-term memory network Optical pulse propagation Nonlinear Schrödinger equation
topic	ddc 620 bkl 33.18 bkl 33.38 bkl 50.37 bkl 53.54 bkl 53.75 bkl 42.03 misc Fiber optical parametric amplifiers misc Long short-term memory network misc Optical pulse propagation misc Nonlinear Schrödinger equation
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title	Modeling pulse propagation in fiber optical parametric amplifier by a long short-term memory network
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title_full	Modeling pulse propagation in fiber optical parametric amplifier by a long short-term memory network
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author_browse	Sui, Hao Zhu, Hongna Wu, Jing Luo, Bin Taccheo, Stefano Zou, Xihua
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doi_str_mv	10.1016/j.ijleo.2022.169125
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title_sort	modeling pulse propagation in fiber optical parametric amplifier by a long short-term memory network
title_auth	Modeling pulse propagation in fiber optical parametric amplifier by a long short-term memory network
abstract	The ultrashort pulse evolution in fiber optical parametric amplifier (FOPA) systems is a highly complex nonlinear dynamic. Here, the long short-term memory network (LSTM) is applied to predicting the pulse propagation of signal waves in the FOPA system, rather than calculating the nonlinear Schrödinger equation (NLSE) numerically. The LSTM network only requires the initial signal power waveform, and the signal pulse propagation is realized in the feedback loop. Besides, we focus on predicting the evolution of signal pulse by varying the initial signal power and the initial signal pulse width to test the performance of our proposed method. The predictions of the LSTM network show great consistency with the NLSE results in each propagation stage of two cases, which reveal that the signal pulse evolution in FOPA is achieved precisely. The realization reduces the computational burden and further gives an effective way to optimize and guide the experiment and application in the FOPA systems.
abstractGer	The ultrashort pulse evolution in fiber optical parametric amplifier (FOPA) systems is a highly complex nonlinear dynamic. Here, the long short-term memory network (LSTM) is applied to predicting the pulse propagation of signal waves in the FOPA system, rather than calculating the nonlinear Schrödinger equation (NLSE) numerically. The LSTM network only requires the initial signal power waveform, and the signal pulse propagation is realized in the feedback loop. Besides, we focus on predicting the evolution of signal pulse by varying the initial signal power and the initial signal pulse width to test the performance of our proposed method. The predictions of the LSTM network show great consistency with the NLSE results in each propagation stage of two cases, which reveal that the signal pulse evolution in FOPA is achieved precisely. The realization reduces the computational burden and further gives an effective way to optimize and guide the experiment and application in the FOPA systems.
abstract_unstemmed	The ultrashort pulse evolution in fiber optical parametric amplifier (FOPA) systems is a highly complex nonlinear dynamic. Here, the long short-term memory network (LSTM) is applied to predicting the pulse propagation of signal waves in the FOPA system, rather than calculating the nonlinear Schrödinger equation (NLSE) numerically. The LSTM network only requires the initial signal power waveform, and the signal pulse propagation is realized in the feedback loop. Besides, we focus on predicting the evolution of signal pulse by varying the initial signal power and the initial signal pulse width to test the performance of our proposed method. The predictions of the LSTM network show great consistency with the NLSE results in each propagation stage of two cases, which reveal that the signal pulse evolution in FOPA is achieved precisely. The realization reduces the computational burden and further gives an effective way to optimize and guide the experiment and application in the FOPA systems.
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title_short	Modeling pulse propagation in fiber optical parametric amplifier by a long short-term memory network
remote_bool	true
author2	Zhu, Hongna Wu, Jing Luo, Bin Taccheo, Stefano Zou, Xihua
author2Str	Zhu, Hongna Wu, Jing Luo, Bin Taccheo, Stefano Zou, Xihua
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doi_str	10.1016/j.ijleo.2022.169125
up_date	2024-07-06T17:39:38.804Z
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Here, the long short-term memory network (LSTM) is applied to predicting the pulse propagation of signal waves in the FOPA system, rather than calculating the nonlinear Schrödinger equation (NLSE) numerically. The LSTM network only requires the initial signal power waveform, and the signal pulse propagation is realized in the feedback loop. Besides, we focus on predicting the evolution of signal pulse by varying the initial signal power and the initial signal pulse width to test the performance of our proposed method. The predictions of the LSTM network show great consistency with the NLSE results in each propagation stage of two cases, which reveal that the signal pulse evolution in FOPA is achieved precisely. 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Modeling pulse propagation in fiber optical parametric amplifier by a long short-term memory network

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