kr0st © 2010
Implements the following algorithm: "Improving the Learning Speed of 2-Layer Neural Networks by Choosing Initial Values of the Adaptive Weights" by Derrick Nguyen and Bernard Widrow. More...
#include <Weights_Initializer.h>
Public Member Functions | |
| Weights_Initializer (int rnd_seed=-1) | |
| Constructor, takes internal random numbers generator seed value as a parameter. If no seed is specified _time32(NULL) function result is taken as a seed. | |
| void | Set_Weights_Count (int count) |
| Sets the number of weights to calculate. | |
| void | Set_Hidden_Neurons_Count (int count) |
| Sets the number of neurons in hidden layer. | |
| void | Get_Weights (std::vector< double > &output, int weights_count=0, int hidden_neurons_count=0) |
| Calculates initial weights based on weights_count and hidden_neurons_count. | |
| double | Get_Bias_Weight () |
| Calculates random bias weight based on weights_count and hidden_neurons_count. | |
| bool | Validate (const std::vector< double > &input, double precision=0.0001) |
| Validates Get_Weights() result with the specified precision. | |
Implements the following algorithm: "Improving the Learning Speed of 2-Layer Neural Networks by Choosing Initial Values of the Adaptive Weights" by Derrick Nguyen and Bernard Widrow.