FeedForwardNN::AbstractModel() | AbstractModel | [inline] |
InvertableModel::AbstractModel() | AbstractModel | [inline] |
bias | MultiLayerFFNN | [protected] |
FeedForwardNN::Configurable() | Configurable | [inline] |
FeedForwardNN::Configurable(const std::string &name, const std::string &revision) | Configurable | [inline] |
InvertableModel::Configurable() | Configurable | [inline] |
InvertableModel::Configurable(const std::string &name, const std::string &revision) | Configurable | [inline] |
damp(double damping) | MultiLayerFFNN | [virtual] |
dlinear(double) | FeedForwardNN | [inline, static] |
dsigmoid(double x) | FeedForwardNN | [inline, static] |
dtanh(double x) | FeedForwardNN | [inline, static] |
eps | MultiLayerFFNN | [protected] |
FeedForwardNN() | FeedForwardNN | [inline] |
getBias(unsigned int of_layer) const | MultiLayerFFNN | [inline, virtual] |
FeedForwardNN::getId() const | Configurable | [inline] |
InvertableModel::getId() const | Configurable | [inline] |
getInputDim() const | MultiLayerFFNN | [inline, virtual] |
getLayer(unsigned int layer) const | MultiLayerFFNN | [inline, virtual] |
getName() const | MultiLayerFFNN | [inline, virtual] |
getOutputDim() const | MultiLayerFFNN | [inline, virtual] |
getParam(const paramkey &key) const | MultiLayerFFNN | [inline, virtual] |
getParamList() const | MultiLayerFFNN | [inline, virtual] |
getRevision() const | Configurable | [inline, virtual] |
getRevision(const paramkey &revision) | Configurable | [inline, virtual] |
getWeights(unsigned int to_layer) const | MultiLayerFFNN | [inline, virtual] |
init(unsigned int inputDim, unsigned int outputDim, double unit_map=0.0) | MultiLayerFFNN | [virtual] |
initialised | MultiLayerFFNN | [protected] |
FeedForwardNN::insertCVSInfo(paramkey &str, const char *file, const char *revision) | Configurable | [static] |
InvertableModel::insertCVSInfo(paramkey &str, const char *file, const char *revision) | Configurable | [static] |
layers | MultiLayerFFNN | [protected] |
learn(const matrix::Matrix &input, const matrix::Matrix &nom_output, double learnRateFactor=1) | MultiLayerFFNN | [virtual] |
linear(double x) | FeedForwardNN | [inline, static] |
MultiLayerFFNN(double eps, const std::vector< Layer > &layers) | MultiLayerFFNN | [inline] |
FeedForwardNN::paramkey typedef | Configurable | |
InvertableModel::paramkey typedef | Configurable | |
FeedForwardNN::paramlist typedef | Configurable | |
InvertableModel::paramlist typedef | Configurable | |
FeedForwardNN::paramval typedef | Configurable | |
InvertableModel::paramval typedef | Configurable | |
FeedForwardNN::parse(FILE *f) | Configurable | |
InvertableModel::parse(FILE *f) | Configurable | |
FeedForwardNN::print(FILE *f, const char *prefix) const | Configurable | |
InvertableModel::print(FILE *f, const char *prefix) const | Configurable | |
process(const matrix::Matrix &input) | MultiLayerFFNN | [virtual] |
response(const matrix::Matrix &input) const | MultiLayerFFNN | [virtual] |
restore(FILE *f) | MultiLayerFFNN | [virtual] |
FeedForwardNN::restoreCfg(const char *filenamestem) | Configurable | |
InvertableModel::restoreCfg(const char *filenamestem) | Configurable | |
setName(const paramkey &name) | Configurable | [inline, virtual] |
setParam(const paramkey &key, paramval val) | MultiLayerFFNN | [inline, virtual] |
sigmoid(double x) | FeedForwardNN | [inline, static] |
store(FILE *f) const | MultiLayerFFNN | [virtual] |
FeedForwardNN::storeCfg(const char *filenamestem) | Configurable | |
InvertableModel::storeCfg(const char *filenamestem) | Configurable | |
tanh(double x) | FeedForwardNN | [inline, static] |
weights | MultiLayerFFNN | [protected] |
ys | MultiLayerFFNN | [protected] |
zs | MultiLayerFFNN | [protected] |
~AbstractModel() | AbstractModel | [inline, virtual] |
~Configurable() | Configurable | [inline, virtual] |
~FeedForwardNN() | FeedForwardNN | [inline, virtual] |
~InvertableModel() | InvertableModel | [inline, virtual] |
~MultiLayerFFNN() | MultiLayerFFNN | [inline, virtual] |
~Storeable() | Storeable | [inline, virtual] |