add(Neuron *neuron) | NeuronContainer | |
ANNetwork(const char *description=NULL) | ANNetwork | |
ANNetwork(const ANNetwork &orig) (defined in ANNetwork) | ANNetwork | [inline] |
check() const | ANNetwork | |
cleanup(bool removeDisableds=false, bool removePassthroughs=false) | ANNetwork | |
connect(int i, int j) | ANNetwork | |
connectFfw(const PackTable< int > &conns) | ANNetwork | |
connectFull() | ANNetwork | |
connectFullFfw(bool shortcuts) | ANNetwork | |
copy(const ANNetwork &fnet, bool onlyWeights=false) | ANNetwork | [virtual] |
Learner::copy(const Learner &fnet, bool onlyWeights=false) | Learner | [virtual] |
copyFreeNet(const ANNetwork &orig, bool onlyWeights=false) | ANNetwork | [virtual] |
drawEPS(double xsize=-1, double ysize=-1) const | ANNetwork | |
drawFeedForward() | ANNetwork | |
empty() | ANNetwork | [virtual] |
getEqualizer() | ANNetwork | [inline] |
getEqualizer() const | ANNetwork | [inline] |
getTopology() const | ANNetwork | [inline] |
getUnitPrototype() const (defined in ANNetwork) | ANNetwork | [inline] |
init(double r=0.0) | ANNetwork | [virtual] |
Learner() | Learner | |
make(const char *top) | ANNetwork | [inline, virtual] |
makeUnits(const char *topology) | ANNetwork | |
mInitializer | ANNetwork | [protected] |
mpEqualizer | ANNetwork | [protected] |
mTopology | ANNetwork | [protected] |
mUnits | NeuronContainer | [protected] |
mUnitTemplate | ANNetwork | [protected] |
NeuronContainer() (defined in NeuronContainer) | NeuronContainer | [inline] |
NeuronContainer(int size) (defined in NeuronContainer) | NeuronContainer | [inline] |
operator>>(OStream &out) const | ANNetwork | [virtual] |
removeUnit(int i) | NeuronContainer | |
reset() | ANNetwork | |
setEqualizer(Equalizer *eq=NULL) | ANNetwork | |
setInitializer(NeuronInitializer *initer) | ANNetwork | |
setUnitPrototype(Neuron *t) | ANNetwork | [inline] |
test(const PatternSource &set) const | Learner | [virtual] |
testClassify(const PatternSource &set) const | Learner | [virtual] |
testPattern(const PatternSource &set, int pattern) const | ANNetwork | [virtual] |
toANNetwork() const | Learner | [virtual] |
train(const PatternSet &set, int cycles, int cycint=-1, int vsize=-1) | Learner | [virtual] |
train(const PatternSet &trainSet, const PatternSet &validationSet, int cycles, int cycint=-1) | Learner | |
trainOnce(const PatternSet &trainset) | Learner | [virtual] |
update() | ANNetwork | [virtual] |
~ANNetwork() (defined in ANNetwork) | ANNetwork | [virtual] |
~Learner() (defined in Learner) | Learner | [inline, virtual] |
~NeuronContainer() (defined in NeuronContainer) | NeuronContainer | |