Formula for two layer FFNN

y=b2+LW2_1*tansig(b1+IW1_1*x1); %for one hidden layer

what will be my formula look like if I use 2hidden layers 20 15 neurons?

Answer 1

[Greg Heath]

y1 = b1 + IW1 * x

y2 = b2 + LW2 * tanh( y1 )

y3 = b3 + LW3 * tanh( y2 )

= b3 + LW3 * tanh( b2 + LW2 * tanh( b1 + IW1 * x ) )

Hope this helps

Thank you for formally accepting my answer

Greg

[Matthew Clark]

Thanks prof. Heath,

I am using FFBP NN for my electricity load prediction problem, I have 21 inputs which are normalized to fit the range -0.9 and 0.9,using 2 hidden layers with 20 and 15 nodes, using tansing transfer function in both layers and trainlm algorithm with 0.01 learning rate. My target data is two year historical load. I am getting quite satisfying results on new data. Should I something improve ? I know maybe it is quite weird question from me but I am pretty new to NN.

Regards

Answer 2

[Ayoub Azzouzi]

Hi there,

I need your help please!

I want creat neural network model for rotor flux estimation, can you help me please ?

Regrads!