neural network with bayesian regularization: find weights and biases and recalculate the network

Question

Michael Arnold 2020-12-11

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https://ww2.mathworks.cn/matlabcentral/answers/691315-neural-network-with-bayesian-regularization-find-weights-and-biases-and-recalculate-the-network

编辑： Michael Arnold 2020-12-15

采纳的回答： Sai Veeramachaneni

在 MATLAB Online 中打开

Hey,

i´m trying to use a neural network to guess functional values for unknown points. This is my current solution.

%target f(x)=(x^2 + 22*x - 100)/(4*x)
%for x = [2,9]
inputall = 2:0.01:9;
outputall = (inputall.^2+22*inputall-100)./(4*inputall);
%training data
inputtrain = 2:1:9; 
outputtrain = (inputtrain.^2+22*inputtrain-100)./(4*inputtrain);
%neural network
neurons = 5; 
net = feedforwardnet(neurons,'trainbr');    
net = train(net,inputtrain,outputtrain);
%prediction
predict(1,:) = net(inputall); 
%comparison
comp = [outputall' predict']
%visualization
figure('Name','comparison'); hold on;
plot(inputall,outputall);
plot(inputall,predict)

Now I want to know what weights and biases the network finaly used. How can i get them and is it possible to use them to recalculate by myself the solution of the network?

Best regards

Michael