MATLAB: Can we change the name of an input neuron in neural netwrok MATLABneural network I want to change the name of all input neuron when designing a neural network Best Answer The quick answer is: YESTo understand how, consider the following:Terminology correction:The typical FFMLP has 1. 3 layers of nodes (input/hidden/output) 2. 2 layers of weights (input-to-hidden/hidden-to-output) 3. 2 layers of transfer functions AKA neurons (input-to-hidden/hidden-to-output) 4. It is called a two-layer ANN because of the two (hidden and output) neuron layers. 5. The input nodes are known as fan-in units and are not considered to be neurons.So, there is no such thing as an input neuron!I infer that you wish to change THE TYPE OF HIDDEN LAYER NEURONS!If you enter net = fitnet %No ending semicolonyou will obtain a list of network properties. Concentrate on the contents of the first 3 subobjects net.inputs net.layers net.outputs %ans = [1x1 nnetInput] %ans = [1x1 nnetLayer] % [1x1 nnetLayer] %ans = [ [] [1x1 nnetOutput]Then, to extract components ans1 = net.inputs{1} ans2 = net.layers{1} ans3 = net.layers{2} ans4 = net.outputs{2}Finally, layer1tranferFcn = net.layers{1}.transferFcn layer2transferFcn = net.layers{2}.transferFcn %layer1tranferFcn = tansig %layer2transferFcn = purelinThe RHS of the 3rd and 4th equations from the end can be inverted to assign new types of neurons to either or both layers.Hope this helps.Thank you for formally accepting my answerGreg Related SolutionsMATLAB: Neural network fitting for PWM synthesis According to your code:net = network( ...1, ... % numInputs, number of inputs,2, ... % numLayers, number of layers[1; 0], ... % biasConnect, numLayers-by-1 Boolean vector,[1; 0], ... % inputConnect, numLayers-by-numInputs Boolean matrix,[0 0; 1 0], ... % layerConnect, numLayers-by-numLayers Boolean matrix[0 1] ... % outputConnect, 1-by-numLayers Boolean vector);The network has only 2 layers.>> view(net)>> net.layersans = 2×1 cell array {1×1 nnetLayer} {1×1 nnetLayer}Refer to the following for more information: network, Neural Network Object Properties, Neural Network Subobject Properties MATLAB: Can custom neural networks use validation and test sets This happens when target data is in cell arrays. Having one output in a regular matrix fixed the issue. Related QuestionWhat activation functions does patternnet use for the hidden and output layersHow to create the ownfitnet neural network? i have written code to calculate square root of number, plz help me to find the problem with it.The gradient descent algorithm increases in each epochWeights don’t initialize.
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