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Hopfield network: How to find the stable state?



2019 Community Moderator ElectionNeural Network parse string data?R - Interpreting neural networks plotAdjusting weights in an convolutional neural networkNeural Network accuracy and loss guarantees?Basic backpropagation questionHow are weights represented in a convolution neural network?How the vector of weights assigned to a neural network?Why are autoencoders for dimension reduction symmetrical?What is the dimensionality of the bias term in neural networks?How do you calculate the information capacity of a neural network?










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$begingroup$


Having trouble with this practice question:



A 4-node Hopfield network is used to store 3 training patterns (1,1,1,1), (1,1,-1,-1) and (-1,-1, 1,1). What would be the state of the network if (1, 1, 1, -1) is presented as the input? Apply asynchronous update to nodes in the following order: node 4, 3, 2, 1 and mark the stable state. Assume: sgn(x)= +1 if x ≥ 0, and sgn(x)= –1 if x < 0, and wjj=0



Hint: Calculate w12=w21= , w13=w31= , w14=w41= , w23=w32= , w24=w42= , w34=w43=










share|improve this question









$endgroup$
















    0












    $begingroup$


    Having trouble with this practice question:



    A 4-node Hopfield network is used to store 3 training patterns (1,1,1,1), (1,1,-1,-1) and (-1,-1, 1,1). What would be the state of the network if (1, 1, 1, -1) is presented as the input? Apply asynchronous update to nodes in the following order: node 4, 3, 2, 1 and mark the stable state. Assume: sgn(x)= +1 if x ≥ 0, and sgn(x)= –1 if x < 0, and wjj=0



    Hint: Calculate w12=w21= , w13=w31= , w14=w41= , w23=w32= , w24=w42= , w34=w43=










    share|improve this question









    $endgroup$














      0












      0








      0





      $begingroup$


      Having trouble with this practice question:



      A 4-node Hopfield network is used to store 3 training patterns (1,1,1,1), (1,1,-1,-1) and (-1,-1, 1,1). What would be the state of the network if (1, 1, 1, -1) is presented as the input? Apply asynchronous update to nodes in the following order: node 4, 3, 2, 1 and mark the stable state. Assume: sgn(x)= +1 if x ≥ 0, and sgn(x)= –1 if x < 0, and wjj=0



      Hint: Calculate w12=w21= , w13=w31= , w14=w41= , w23=w32= , w24=w42= , w34=w43=










      share|improve this question









      $endgroup$




      Having trouble with this practice question:



      A 4-node Hopfield network is used to store 3 training patterns (1,1,1,1), (1,1,-1,-1) and (-1,-1, 1,1). What would be the state of the network if (1, 1, 1, -1) is presented as the input? Apply asynchronous update to nodes in the following order: node 4, 3, 2, 1 and mark the stable state. Assume: sgn(x)= +1 if x ≥ 0, and sgn(x)= –1 if x < 0, and wjj=0



      Hint: Calculate w12=w21= , w13=w31= , w14=w41= , w23=w32= , w24=w42= , w34=w43=







      neural-network






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Mar 28 at 23:41









      Anon StudentAnon Student

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