Matlab Neural Network Structure -

i'm full newbie in neural networks. generated nn in matlab. further need know exact structure of nn, because need implement in java(static connections , weights, no learning). can explain how connect neurons , math operations perform in each element?

nn params next(taken matlab):

iw{1,1} - weight layer 1 intput 1

[2.8574 -1.9207;  1.7582 -1.2549;  -4.5925 0.23236;  12.0861 12.3701;  2.503 -1.9321;  -2.1422 2.6928] 

lw{2,1} - weight layer

[-0.51977 5.3993 3.4349 5.2863 3.1976 -0.67102] 

b{1} - bias layer 1

[-3.2811;  -6.956;  -3.0943;  11.1103;  0.14842;  -3.3705] 

b{2} - bias layer 2

[1.4657] 

transfer function tansig appreciate help.

you have nn has 2 inputs, hidden layer of 6 neurons , output layer of 1 neuron.

each of neuron in each layer, take outputs previous 1 , multiply them number , offset result another.

the numbers show numbers mentioned.

for example, neuron 1 hidden layer output hidden1=2.8574*in1 -1.9207*in2-3.2811. take whatever sigma function using , apply hidden1=sigma(hidden1).

as example, output out=-hidden1*0.51977+hidden2*5.3993+...-hidden6*0.67102+1.4657