void Perceptron::set_inputs_number(const size_t& new_inputs_number)
{
initialize_bias_normal(0.0,1.0);
synaptic_weights.set(new_inputs_number);
initialize_synaptic_weights_normal(0.0,1.0);
}
void Perceptron::set_inputs_number(int new_inputs_number)
{
// Control sentence (if debug)
#ifdef _DEBUG
if(new_inputs_number < 0)
{
std::cerr << "Flood Error: Perceptron class." << std::endl
<< "void set_inputs_number(int) method." << std::endl
<< "Number of inputs (" << new_inputs_number << ") must be equal or greater than zero: "
<< std::endl;
exit(1);
}
#endif
inputs_number = new_inputs_number;
synaptic_weights.set_size(inputs_number);
// Init bias and synaptic weights at random
initialize_bias_normal(0.0,1.0);
initialize_synaptic_weights_normal(0.0,1.0);
}
void Perceptron::set(void)
{
initialize_bias_normal(0.0, 0.2);
synaptic_weights.set();
activation_function = HyperbolicTangent;
display = true;
}
void Perceptron::set(void)
{
activation_function = HyperbolicTangent;
inputs_number = 0;
initialize_bias_normal(0.0, 0.2);
display = true;
}
void Perceptron::set(const size_t& new_inputs_number)
{
// Set synaptic weights
activation_function = HyperbolicTangent;
initialize_bias_normal(0.0, 0.2);
synaptic_weights.set(new_inputs_number);
initialize_synaptic_weights_normal(0.0, 0.2);
display = true;
}
void Perceptron::set(int new_inputs_number)
{
// Set synaptic weights
activation_function = HyperbolicTangent;
inputs_number = new_inputs_number;
synaptic_weights.set(inputs_number);
// Init bias and synaptic weights at random
initialize_bias_normal(0.0, 0.2);
initialize_synaptic_weights_normal(0.0, 0.2);
display = true;
}
