Пример #1
0
func AddNeuronNonRecurrent(cortex *ng.Cortex) (bool, MutateResult) {
	numAttempts := len(cortex.AllNodeIds()) * 5

	for i := 0; i < numAttempts; i++ {

		nodeIdLayerMap := cortex.NodeIdLayerMap()
		neuronLayerMap := cortex.NeuronLayerMap()
		randomLayer := neuronLayerMap.ChooseRandomLayer()

		upstreamNodeId := nodeIdLayerMap.ChooseNodeIdPrecedingLayer(randomLayer)
		if upstreamNodeId == nil {
			continue
		}

		downstreamNodeId := findDownstreamNodeId(cortex, nodeIdLayerMap, randomLayer)
		if downstreamNodeId == nil {
			continue
		}

		neuron := cortex.CreateNeuronInLayer(randomLayer)
		neuronAddInlinkFrom(neuron, upstreamNodeId)
		neuronAddOutlinkTo(neuron, downstreamNodeId)

		return true, neuron

	}
	return false, nil
}
Пример #2
0
func Outsplice(cortex *ng.Cortex, chooseOutbound OutboundChooser) (bool, *ng.Neuron) {

	numAttempts := len(cortex.AllNodeIds()) * 5

	for i := 0; i < numAttempts; i++ {
		neuronA := randomNeuron(cortex)
		outbound := chooseOutbound(neuronA)
		if outbound == nil {
			continue
		}

		if neuronA.NodeId.UUID == outbound.NodeId.UUID {
			continue
		}

		nodeIdB := outbound.NodeId

		// figure out which layer neuronK will go in
		nodeIdLayerMap := cortex.NodeIdLayerMap()
		layerA := neuronA.NodeId.LayerIndex
		layerB := nodeIdB.LayerIndex
		layerK := nodeIdLayerMap.LayerBetweenOrNew(layerA, layerB)

		// create neuron K
		neuronK := cortex.CreateNeuronInLayer(layerK)

		// disconnect neuronA <-> nodeB
		nodeBConnector := cortex.FindInboundConnector(nodeIdB)
		ng.DisconnectOutbound(neuronA, nodeIdB)
		ng.DisconnectInbound(nodeBConnector, neuronA)

		// connect neuronA -> neuronK
		weights := randomWeights(1)
		ng.ConnectOutbound(neuronA, neuronK)
		ng.ConnectInboundWeighted(neuronK, neuronA, weights)

		// connect neuronK -> nodeB
		switch nodeIdB.NodeType {
		case ng.NEURON:
			neuronB := cortex.FindNeuron(nodeIdB)
			ng.ConnectOutbound(neuronK, neuronB)
			ng.ConnectInboundWeighted(nodeBConnector, neuronK, weights)
		case ng.ACTUATOR:
			actuatorB := cortex.FindActuator(nodeIdB)
			ng.ConnectOutbound(neuronK, actuatorB)
			ng.ConnectInbound(nodeBConnector, neuronK)
		}
		return true, neuronK

	}
	return false, nil

}
Пример #3
0
func AddNeuronRecurrent(cortex *ng.Cortex) (bool, MutateResult) {

	numAttempts := len(cortex.AllNodeIds()) * 5

	for i := 0; i < numAttempts; i++ {

		nodeIdLayerMap := cortex.NodeIdLayerMap()
		neuronLayerMap := cortex.NeuronLayerMap()
		randomLayer := neuronLayerMap.ChooseRandomLayer()
		inboundNodeId := findRecurrentInboundNodeId(cortex,
			nodeIdLayerMap,
			randomLayer)

		if inboundNodeId == nil {
			log.Printf("Warn: unable to find inbound node id")
			continue
		}

		if randomLayer == inboundNodeId.LayerIndex {
			continue
		}

		neuron := cortex.CreateNeuronInLayer(randomLayer)

		outboundNodeId := findRecurrentOutboundNodeId(cortex,
			nodeIdLayerMap,
			randomLayer)

		if outboundNodeId == nil {
			log.Printf("Warn: unable to find outbound node id")
			continue
		}

		neuronAddInlinkFrom(neuron, inboundNodeId)
		neuronAddOutlinkTo(neuron, outboundNodeId)

		return true, neuron

	}

	logg.LogTo("NEURVOLVE", "return false, nil")
	return false, nil

}