| __init__(self, "int" _nInputs) | feedforward_closedloop_learning.Neuron | |
| calcOutput(self) | feedforward_closedloop_learning.Neuron | |
| calcOutputThread("void *" object) | feedforward_closedloop_learning.Neuron | static |
| CONST_WEIGHTS (defined in feedforward_closedloop_learning.Neuron) | feedforward_closedloop_learning.Neuron | static |
| dActivation(self) | feedforward_closedloop_learning.Neuron | |
| doLearning(self) | feedforward_closedloop_learning.Neuron | |
| doLearningThread("void *" object) | feedforward_closedloop_learning.Neuron | static |
| doMaxDet(self) | feedforward_closedloop_learning.Neuron | |
| doMaxDetThread("void *" object) | feedforward_closedloop_learning.Neuron | static |
| getAverageOfWeightVector(self) | feedforward_closedloop_learning.Neuron | |
| getBiasWeight(self) | feedforward_closedloop_learning.Neuron | |
| getDecay(self) | feedforward_closedloop_learning.Neuron | |
| getError(self) | feedforward_closedloop_learning.Neuron | |
| getEuclideanNormOfWeightVector(self) | feedforward_closedloop_learning.Neuron | |
| getInfinityNormOfWeightVector(self) | feedforward_closedloop_learning.Neuron | |
| getInput(self, "int" _index) | feedforward_closedloop_learning.Neuron | |
| getManhattanNormOfWeightVector(self) | feedforward_closedloop_learning.Neuron | |
| getMask(self, *args) | feedforward_closedloop_learning.Neuron | |
| getMaxWeightValue(self) | feedforward_closedloop_learning.Neuron | |
| getMinWeightValue(self) | feedforward_closedloop_learning.Neuron | |
| getNinputs(self) | feedforward_closedloop_learning.Neuron | |
| getOutput(self) | feedforward_closedloop_learning.Neuron | |
| getSum(self) | feedforward_closedloop_learning.Neuron | |
| getSumOfSquaredWeightVector(self) | feedforward_closedloop_learning.Neuron | |
| getWeight(self, "int" _index) | feedforward_closedloop_learning.Neuron | |
| getWeightDistanceFromInitialWeights(self) | feedforward_closedloop_learning.Neuron | |
| initWeights(self, *args) | feedforward_closedloop_learning.Neuron | |
| LINEAR (defined in feedforward_closedloop_learning.Neuron) | feedforward_closedloop_learning.Neuron | static |
| MAX_OUTPUT_CONST (defined in feedforward_closedloop_learning.Neuron) | feedforward_closedloop_learning.Neuron | static |
| MAX_OUTPUT_RANDOM (defined in feedforward_closedloop_learning.Neuron) | feedforward_closedloop_learning.Neuron | static |
| MAX_WEIGHT_RANDOM (defined in feedforward_closedloop_learning.Neuron) | feedforward_closedloop_learning.Neuron | static |
| normaliseWeights(self, "double" norm) | feedforward_closedloop_learning.Neuron | |
| RELU (defined in feedforward_closedloop_learning.Neuron) | feedforward_closedloop_learning.Neuron | static |
| REMAXLU (defined in feedforward_closedloop_learning.Neuron) | feedforward_closedloop_learning.Neuron | static |
| saveInitialWeights(self) | feedforward_closedloop_learning.Neuron | |
| setActivationFunction(self, "Neuron::ActivationFunction" _activationFunction) | feedforward_closedloop_learning.Neuron | |
| setBias(self, "double" _bias) | feedforward_closedloop_learning.Neuron | |
| setBiasWeight(self, "double" _biasweight) | feedforward_closedloop_learning.Neuron | |
| setDebugInfo(self, "int" _layerIndex, "int" _neuronIndex) | feedforward_closedloop_learning.Neuron | |
| setDecay(self, "double" _decay) | feedforward_closedloop_learning.Neuron | |
| setError(self, "double" _error) | feedforward_closedloop_learning.Neuron | |
| setGeometry(self, "int" _width, "int" _height) | feedforward_closedloop_learning.Neuron | |
| setInput(self, "int" _index, "double" _value) | feedforward_closedloop_learning.Neuron | |
| setLearningRate(self, "double" _learningrate) | feedforward_closedloop_learning.Neuron | |
| setMask(self, *args) | feedforward_closedloop_learning.Neuron | |
| setMomentum(self, "double" _momentum) | feedforward_closedloop_learning.Neuron | |
| setStep(self, "long" _step) | feedforward_closedloop_learning.Neuron | |
| setWeight(self, "int" _index, "double" _weight) | feedforward_closedloop_learning.Neuron | |
| TANH (defined in feedforward_closedloop_learning.Neuron) | feedforward_closedloop_learning.Neuron | static |
| TANHLIMIT (defined in feedforward_closedloop_learning.Neuron) | feedforward_closedloop_learning.Neuron | static |
| thisown (defined in feedforward_closedloop_learning.Neuron) | feedforward_closedloop_learning.Neuron | static |