Computer Science ›› 2013, Vol. 40 ›› Issue (10): 213-217.

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Memristor-based Successive Learning Chaotic Neural Network

ZHANG Yi,DUAN Shu-kai,WANG Li-dan and HU Xiao-fang   

  • Online:2018-11-16 Published:2018-11-16

Abstract: With the unique memory ability and continuously variable conductance state,memristors have promising prospects in the fields of artificial intelligence and artificial neural network.This paper derived the charge-controlled memristor model in detail.Combining the nanometer memristor and chaotic neural network,a novel type of memristor-based successive learning chaotic neural network model was proposed.The numerous feedbacks and iterative in the network,that is,the spatio-temporal summation of external input to neurons and the interaction between neurons,can been achieved by taking advantage of memristor.In the proposed model,it makes use of the difference in the response to the input patterns to distinguish the unknown pattern from the stored known patterns.When an input pattern is regarded as an unknown pattern,it will be memorized in the network.The effectiveness was verified through the given simulation experiments.With the memristor’s nano-scale size and automatic memory capacity,the program is expected to greatly simplify the structure of chaotic neural network.

Key words: Memristor,Chaotic neural network,Successive learning,Spatio-temporal summation

[1] Liu Guang-yuan,Duan Shu-kai.A Chaotic Neural Network and its Applications in Separation of Superimposed Pattern and Many-to-Many Associative Memory[J].Computer Science,2003,0:83-85
[2] Aihara K,Takabe T,Toyoda M.Chaotic Neural Networks[J].Physics Letters A,1990,144(6/7):333-340
[3] Yao Y,Freeman W J.Model of Biological Pattern Recognitionwith Spatially Chaotic Dynamics Neural Networks[J].Neural Networks,1990,3:153-170
[4] Osana Y,Hagiwara M.Separation of Superimposed Pattern and Many-to-Many Associations by Chaotic Neural Networks[J].IEEE International Joint Conference on Neural Networks Proceedings,1998,1:514-519
[5] Kaneko K,Clustering,Coding,et al.Hierararchial Ordering and Control in a Network of Chaotic Elements[J].Physics Letters D,1990,41:137-172
[6] Ishii S,Fukumizu K,Watanabe S.A Network of Chaotic Ele-ments for Information Processing[J].Neural Networks,1996,1:25-40
[7] Osana Y,Hattori M,Hagiwara M.Chaotic Bidirectional Associa-tive Memory[C]∥International Conference on Neural Networks.Houston,1997,2:816-821
[8] Osana Y,Hagiwara M.Successive Learning in Chaotic NeuralNetwork[J].IEEE International Joint Conference on Neural Networks Proceedings,Anchorage,1998,2:1510-1515
[9] Kawasaki N,Osana Y,Hagiwara M.Chaotic associative memory for successive learning using internal patterns[J].IEEE International Conference on Systems,Man,and Cybernetics,2000,4:2521-2526
[10] Osana Y.Improved chaotic associative memory using distributed patterns for image retrieval[C]∥Proceedings of the InternationalJoint Conference on Neural Networks.2003,2:846-851
[11] Liu G Y,Duan S K.A Chaotic Neural Network and its Applications in Separation Superimposed Pattern and Many-to-Many Associative Memory[C]∥Computer Science.Chongqing,China,2003,30:83-85
[12] Duan S K,Liu G Y,Wang L D,et al.A Novel Chaotic Neural Network for Many-to-Many Associations and Successive Lear-ning[C]∥IEEE International Conference on Neural Networks and Signal Processing.Nanjing,China,2003,1:135-138
[13] Duan S K,Wang L D.A Novel Chaotic Neural Network for Automatic Material Ratio System[C]∥International Symposium on Neural Networks.Lecture Notes in Computer Science,Dalian,China,2004:813-819
[14] Wang Li-dan,Duan Shu-kai,Liu Guang-yuan.Adaptive chaotic controlling method of a chaotic neural network model[J].Lecture Notes in Computer Science,2005,3496:363-368
[15] Chua L O.Memristor-the missing circuit element[J].IEEETrans Circuit Theory,1971,8:507-519
[16] Chua L O,Kang S K.Memristive devices and systems[J].P IEEE,1976,4:209-223
[17] Strukov D B,Snider G S,Stewart D R,et al.The missing memristor found[J].Nature,2008,3:80-83
[18] Hu Xiao-fang,Duan Shu-kai,Wang Li-dan,et al.MemristiveCrossbar Array with Application in Image Processing[J].Science China Information Sciences,2012,5(2):461-462
[19] Hu Xiao-fang,Duan Shu-kai,Wang Li-dan,et al.Analog Memory Based on Pulse Controlled Memristor[J].Journal of University of Electronic Science and Technology of China,2011,0:643-647
[20] Gao Shi-yong,Duan Shu-kai,Wang Li-dan.Memristive CellNeural Network(CNN)with Applications in Image Processing[J].Journal of Southwest University:Natural Science Edition,2011,33(11):63-70
[21] Sah M P,Yang Chang-ju,Kim H,et al.A Voltage Mode Memristor Bridge Synaptic Circuit with Memristor Emulators[J].Sensors,2012,2:3587-3604
[22] Kim H,Yang Chang-ju,Chua L O R T.Neural Synaptic Weighting With a Pulse-Based Memristor Circuit[J].IEEE Transaction on Circuits and System I,2012,9:148-158
[23] Al-Sarawi S K O,Cho K-R,Kim S-J,et al.Memristor-based syna-ptic networks and logical operations using in-situ computing[J].IEEE,2011:137-142
[24] Yao Yong,Freeman W J.Model of biological pattern recognitionwith spatially chaotic dynamics[J].Neural Networks,1990,3:153-170
[25] Duan Shua-kai,Liu Guang-yuan.Parameters Effecting on Pr-operties of Chaotic Associative Memory[J].Signal Processing,2003,9:245-248

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