func (d Classic) decode(g neat.Genome) (net neat.Network, err error) {
// Identify the genes
nodes, conns := g.GenesByPosition()
// Create the neurons
nmap := make(map[int]int)
neurons := make([]network.Neuron, len(nodes))
for i, ng := range nodes {
nmap[ng.Innovation] = i
neurons[i] = network.Neuron{NeuronType: ng.NeuronType, ActivationType: ng.ActivationType, X: ng.X, Y: ng.Y}
}
// Create the synapses
//forward := true // Keep track of conenctions to determine if this is a feed-forward only network
synapses := make([]network.Synapse, 0, len(conns))
for _, cg := range conns {
if cg.Enabled {
//src, tgt := nodes[nmap[cg.Source]], nodes[nmap[cg.Target]]
//forward = forward && src.Y < tgt.Y
synapses = append(synapses, network.Synapse{
Source: nmap[cg.Source],
Target: nmap[cg.Target],
Weight: cg.Weight,
})
}
}
net, err = network.New(neurons, synapses)
return
}
