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- W2354857983 abstract "About associative Hopfield neural networks based on Hebb learning law and the existing problem,the necessary and sufficient conditions of distinguishing prototype stability were put forward and all theorems and deductions have been proved.According to the basic theory of Hopfield neural networks,the process of intuition producing is described.The associative Hopfield model sets up an associative bridge between experience and intuition.The Hebb learning law realizes the process of experience accumulating,and the models of cross and variation vividly simulate the process that the thinking of human brain mixes together and makes a sudden change,which first establish the calculating model and put forward the calculating formula for intuition producing.Finally,an example of generating fractal graphs is given to verify the model." @default.
- W2354857983 created "2016-06-24" @default.
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- W2354857983 date "2004-01-01" @default.
- W2354857983 modified "2023-09-25" @default.
- W2354857983 title "Associative Hopfield Neural Networks and Establishing Model of Intuition" @default.
- W2354857983 hasPublicationYear "2004" @default.
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