Introduction - If you have any usage issues, please Google them yourself
The three development based on C hidden layer neural networks, including
1) initialization, threshold subroutines,
2) first m a learning samples input subroutines,
3) the first m a sample teachers signal subroutines,
Each unit 4) hidden layer input and output value subroutines,
Each unit 5) output layer of input and output value subroutines,
6) output layer to hidden layer of generalization error subroutines,
7) hidden layer to input layers of general error subroutines,
8) output layer to the value of the hidden layer, the output layer threshold adjustment subroutines,
9) third hidden layer to the second hidden layer, the value of the hidden layer threshold adjustment subroutines,
10) second hidden layer to the value of the hidden layer, the second hidden layer threshold adjustment subroutines,
11) first hidden layer to the input value adjustment, the first hidden layer threshold adjustment subroutines,
12) N samples of global error subroutines.