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78 lines (62 loc) · 1.51 KB
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function Neuron(){
this.output;
this.actual;
this.error;
this.weights;
this.prevDeltas;
}
Neuron.prototype.initNeuron = function(connectionNumber){
var weights = [];
var deltas = [];
for(var j = 0; j < connectionNumber; j++){
weights.push(this.getRandomFloatInRange(0.01, -0.01));
deltas.push(0);
}
this.setWeights(weights);
this.setPrevDeltas(deltas);
};
Neuron.prototype.getRandomFloatInRange = function(max, min){
return Math.random() * (max - min) + min;
};
Neuron.prototype.setOutput = function(output){
this.output = output;
};
Neuron.prototype.getOutput = function(){
return this.output;
};
Neuron.prototype.setActual = function(actual){
this.actual = actual;
};
Neuron.prototype.getActual = function(){
return this.actual;
};
Neuron.prototype.setError = function(error){
this.error = error;
};
Neuron.prototype.getError = function(){
return this.error;
};
Neuron.prototype.setWeights = function(weights){
this.weights = weights;
};
Neuron.prototype.getWeights = function(){
return this.weights;
};
Neuron.prototype.setWeight = function(index, value){
this.weights[index] = value;
};
Neuron.prototype.getWeight = function(index){
return this.weights[index];
};
Neuron.prototype.setPrevDeltas = function(prevDeltas){
this.prevDeltas = prevDeltas;
};
Neuron.prototype.getPrevDeltas = function(){
return this.prevDeltas;
};
Neuron.prototype.setPrevDelta = function(index, value){
this.prevDeltas[index] = value;
};
Neuron.prototype.getPrevDelta = function(index){
return this.prevDeltas[index];
};