本文整理汇总了Golang中github.com/maxxk/neurgo.Cortex.FindActuator方法的典型用法代码示例。如果您正苦于以下问题：Golang Cortex.FindActuator方法的具体用法？Golang Cortex.FindActuator怎么用？Golang Cortex.FindActuator使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类github.com/maxxk/neurgo.Cortex的用法示例。
在下文中一共展示了Cortex.FindActuator方法的3个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Golang代码示例。
示例1: findDownstreamNodeId
func findDownstreamNodeId(cortex *ng.Cortex, layerMap ng.LayerToNodeIdMap, fromLayer float64) *ng.NodeId {
numAttempts := len(cortex.AllNodeIds()) * 5
for i := 0; i < numAttempts; i++ {
downstreamNodeId := layerMap.ChooseNodeIdFollowingLayer(fromLayer)
if downstreamNodeId == nil {
log.Printf("findDownstreamNodeId unable to find downstream neuron, cannot add neuron")
return nil
}
if downstreamNodeId.NodeType == ng.ACTUATOR {
// make sure it has capacity for new incoming
actuator := cortex.FindActuator(downstreamNodeId)
if actuator.CanAddInboundConnection() == false {
continue
}
}
return downstreamNodeId
}
return nil
}示例2: Outsplice
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
}示例3: findRecurrentOutboundNodeId
// Find a nodeId suitable for use as an outbound node for a newly created
// neuron. This can either be a either another neuron node (including
// the new neuron itself), or an actuator (if it has space), but it cannot
// be a sensor node
func findRecurrentOutboundNodeId(cortex *ng.Cortex, layerMap ng.LayerToNodeIdMap, fromLayer float64) *ng.NodeId {
numAttempts := len(cortex.AllNodeIds()) * 5
keys := layerMap.Keys()
sensorLayer := keys[0]
for i := 0; i < numAttempts; i++ {
chosenNodeId := layerMap.ChooseNodeIdFollowingLayer(sensorLayer)
if chosenNodeId.NodeType == ng.ACTUATOR {
// make sure it has capacity for new incoming
actuator := cortex.FindActuator(chosenNodeId)
if actuator.CanAddInboundConnection() == false {
continue
}
}
return chosenNodeId
}
return nil
}