Use matlab trained patternnet in C/other platform

I trained a neural network for pattern recognition with 100 neurons and 33 inputs. I used the command

net = patternnet(100);

I got all the weight and other matrices. Now I want to use this trained network on ARM platform.

I have been told that if you have all the matrices you can implement the network in any language and can get approximately same results. All you need is simple feed-forward neural network for which weights have been trained.

I don't know the maths of NN. Please guide me how to implement feed-forward network by myself.

How do I know that how many neurons are connected to how many inputs in how many manners in a feedforward network created by matlab with 100 neurons for 33 inputs.

I only know the structure of simple neural network ,which is for 3 inputs and 3 neurons are used in hidden layer. Where each neuron is connected to each input. And each neuron has activation function.and then there is output layer. I can code this network in any language.

I know its naive and basic level but I don't really know that how 100 neuron with 33 input make a feed-forward network.and further how can I know the structure of trained neural network in Matlab so that I can code the same in any other language and can use the trained weights on the same network. In short how matlab generate feed-forward neural network with 100 neurons for 33 inputs and 256 output classes. What will be the structure? So that I can implement it on other platforms.

[hassan mahmood]

In short how matlab generate feed-forward neural network with 100 neurons for 33 inputs and 256 output classes. What will be the structure? So that I can implement it on other platforms.