
Re: Neural Networks weights and bias help
Posted:
Jan 20, 2016 2:54 PM


"Vikas" wrote in message <n7oepr$sju$1@newscl01ah.mathworks.com>... > "Greg Heath" <heath@alumni.brown.edu> wrote in message <kackrs$k0t$1@newscl01ah.mathworks.com>... > > "Renan" wrote in message <kaa61v$hau$1@newscl01ah.mathworks.com>... > > > Please, I´m in the same situation. Did you figure it out? > > > > What EXACTLY do you want to do? > > > > What version of MATLAB do you have? > > > > Please post the documentation you get from the command > > > > help newff > > > > Greg > > What's the difference between BTF (Backprop network training function, default = 'trainlm') and BLF (Backprop weight/bias learning function, default = 'learngdm') in the newff help document? Its some what confusing in the document, can you share your knowledge on this please? > > NEWFF(P,T,S,TF,BTF,BLF,PF,IPF,OPF,DDF) takes, > P  RxQ1 matrix of Q1 representative Relement input vectors. > T  SNxQ2 matrix of Q2 representative SNelement target vectors. > Si  Sizes of N1 hidden layers, S1 to S(N1), default = []. > (Output layer size SN is determined from T.) > TFi  Transfer function of ith layer. Default is 'tansig' for > hidden layers, and 'purelin' for output layer. > BTF  Backprop network training function, default = 'trainlm'. > BLF  Backprop weight/bias learning function, default = 'learngdm'. > PF  Performance function, default = 'mse'. > IPF  Row cell array of input processing functions. > Default is {'fixunknowns','removeconstantrows','mapminmax'}. > OPF  Row cell array of output processing functions. > Default is {'removeconstantrows','mapminmax'}. > DDF  Data division function, default = 'dividerand';
trainlm is the levenbergmarqardt training function
help trainlm doc trainlm
learngdm is a backpropagation learning algorithm that uses gradient descent with momentum
help learngdm doc traingdm
Happy reading!
Greg

