| double frand(){ | |
| return(2.0*(double)rand()/RAND_MAX) -1.0; | |
| } | |
| //Return a new Perceptron object with the specified number of inputs(+1 for the bias) | |
| Perceptron::Perceptron(int inputs, double bias){ | |
| this-> bias = bias; | |
| weights.resize(inputs+1); | |
| generate(weights.begin(),weights.end(),frand); | |
| } | |
| //Run the perceptron. x is a vector with the input values. | |
| double Perceptron::run(vector<double>x){ | |
| x.push_back(bias); | |
| double_sum = inner_product(x.begin(),x.end(),weights.begin(),(double)0.0); | |
| return sigmoid(sum); | |
| } | |
| void Perceptron::set_weights(vector<double>w_init){ | |
| weights = w_init; | |
| } | |
| double Perceptron::sigmoid(double x){ | |
| return (1.0/(1.0 + exp(-x))); | |
| } |