| addObserver(RuntimeParameterObserver *obs) | ParameterSettableWithConfigureFunction | |
| addTypeDescription(QString type, QString shortHelp, QString longHelp=QString("")) | ParameterSettableWithConfigureFunction | protectedstatic |
| AllowMultiple | ParameterSettableWithConfigureFunction | |
| backPropStep(QVector< float > tInput, double rate) | Evonet | |
| backPropStep2(QVector< float > tInput, double rate) | Evonet | |
| calculateBackPropagationError(QVector< float > tInput) | Evonet | |
| computeMeanSquaredError(QVector< float > trainingSet, QVector< float > desiredOutput) | Evonet | |
| computeParameters() | Evonet | |
| configure(ConfigurationParameters ¶ms, QString prefix) | Evonet | virtual |
| copyPheParameters(int *pheGene) | Evonet | |
| create_net_block(int inputNeuronType, int hiddenNeuronType, int outputNeuronType, bool recurrentHiddens, bool inputOutputConnections, bool recurrentOutputs, bool biasOnHidden, bool biasOnOutput) | Evonet | |
| Default | ParameterSettableWithConfigureFunction | |
| DEFAULT_VALUE | Evonet | static |
| describe(QString type) | Evonet | static |
| endTraining() | Evonet | |
| Evonet() | Evonet | |
| evonetUpdated() | Evonet | signal |
| exportWeightsToMATLABFile(char *path) (defined in Evonet) | Evonet | |
| extractWeightsFromNet(Eigen::VectorXf &w) | Evonet | |
| freeParameters() | Evonet | |
| fullParameterDescriptionPath(QString type, QString param) | ParameterSettableWithConfigureFunction | static |
| fullSubgroupDescriptionPath(QString type, QString sub) | ParameterSettableWithConfigureFunction | static |
| getBackPropError() | Evonet | |
| getBrange() | Evonet | |
| getFreeParameter(int i) | Evonet | |
| getGrange() | Evonet | |
| getHidden(int h) | Evonet | |
| getInput(int in) | Evonet | |
| getMutations(float *mut) | Evonet | |
| getNetworkName() const | Evonet | |
| getNeuron(int in) | Evonet | |
| getNoHiddens() | Evonet | |
| getNoInputs() | Evonet | |
| getNoNeurons() | Evonet | |
| getNoOutputs() | Evonet | |
| getOldestStoredActivations() | Evonet | |
| getOutput(int out) | Evonet | |
| getParamBias(int nbias) | Evonet | |
| getRuntimeParameter(QString paramName) | ParameterSettableWithConfigureFunction | |
| getTeachingInputEntry(int id) | Evonet | |
| getUIManager() | Evonet | virtual |
| getWeight(int to, int from) | Evonet | |
| getWrange() | Evonet | |
| hardwire() | Evonet | |
| importWeightsFromMATLABFile(char *path) (defined in Evonet) | Evonet | |
| importWeightsFromVector(Eigen::VectorXf &w) | Evonet | |
| Infinity | ParameterSettableWithConfigureFunction | static |
| initBackPropFreep() | Evonet | |
| initWeightsInRange(float min, float max) | Evonet | |
| initWeightsInRange(float minBias, float maxBias, float minWeight, float maxWeight) | Evonet | |
| initWeightsNguyenWidrow(float min, float max) | Evonet | |
| injectHidden(int nh, float val) | Evonet | |
| inTraining() (defined in Evonet) | Evonet | inline |
| IsList | ParameterSettableWithConfigureFunction | |
| IsMandatory | ParameterSettableWithConfigureFunction | |
| load_net_blocks(const char *filename, int mode) | Evonet | |
| logistic(float f) | Evonet | |
| MaxInteger | ParameterSettableWithConfigureFunction | static |
| maxIterations | Evonet | |
| MAXN | Evonet | static |
| MAXSTOREDACTIVATIONS | Evonet | static |
| MinInteger | ParameterSettableWithConfigureFunction | static |
| NetworkDialog (defined in Evonet) | Evonet | friend |
| neurondcolor | Evonet | |
| neurondisplay | Evonet | |
| neuronl | Evonet | |
| neuronlesion | Evonet | |
| neuronlesions | Evonet | |
| neuronlesionVal | Evonet | |
| neuronrange | Evonet | |
| notifyChangesToParam(QString paramName) | ParameterSettableWithConfigureFunction | protected |
| nselected | Evonet | |
| ParameterSettable() | ParameterSettableWithConfigureFunction | |
| ParameterSettableWithConfigureFunction() | ParameterSettableWithConfigureFunction | |
| pheFileLoaded() | Evonet | |
| postConfigureInitialization() | ParameterSettableWithConfigureFunction | virtual |
| prepareForTraining(QVector< float > &err_w) | Evonet | |
| printAct() | Evonet | |
| printBlocks() | Evonet | |
| printIO() | Evonet | |
| printWeights() | Evonet | |
| Property enum name | ParameterSettableWithConfigureFunction | |
| readNewPheLine(QStringList, float *, float *) | Evonet | |
| readOldPheLine(QStringList, float *, float *) | Evonet | |
| removeObserver(RuntimeParameterObserver *obs) | ParameterSettableWithConfigureFunction | |
| RendNetwork (defined in Evonet) | Evonet | friend |
| resetNet() | Evonet | |
| save(ConfigurationParameters ¶ms, QString prefix) | Evonet | virtual |
| save_net_blocks(const char *filename, int mode) | Evonet | |
| selectedp | Evonet | |
| setGraphicalEditor(QString type) | ParameterSettableWithConfigureFunction | protectedstatic |
| setInput(int inp, float value) | Evonet | |
| setNeckReflex() | Evonet | |
| setNetworkName(const QString &name) | Evonet | |
| setParameters(const int *dt) | Evonet | |
| setRanges(double weight, double bias, double gain) | Evonet | |
| setRuntimeParameter(QString paramName, T newvalue) | ParameterSettableWithConfigureFunction | |
| setWeight(int to, int from, float w) | Evonet | |
| showTeachingInput() | Evonet | |
| tansig(float f) | Evonet | |
| trainLevembergMarquardt(QVector< float > trainingSet, QVector< float > desiredOutput, float maxError) | Evonet | |
| trainLevembergMarquardtThroughTime(QVector< float > trainingSet, QVector< float > desiredOutput, int time, float maxError) | Evonet | |
| typeName() const | ParameterSettableWithConfigureFunction | |
| updateCounts() | Evonet | |
| updateNet() | Evonet | |
| updateWeightsAfterBackProp() | Evonet | |
| ~ParameterSettable() | ParameterSettableWithConfigureFunction | virtual |
| ~ParameterSettableWithConfigureFunction() | ParameterSettableWithConfigureFunction | virtual |