| addObjectType(const std::string &objType, _ObjectFactory *factory) | FD::Object | [inline, static] |
| calc(const float *input, float *value, float *deriv=NULL) | FD::FFNet | [inline] |
| calcGradient(std::vector< float * > &tin, std::vector< float * > &tout, Array< float > weights, Array< double > &gradient, double &err) | FD::FFNet | |
| className() const | FD::Object | [virtual] |
| clone() | FD::Object | [inline, virtual] |
| destroy() | FD::Object | [inline, virtual] |
| doesNotUnderstand(std::string method) | FD::Object | [virtual] |
| FFNet(const Vector< int > &_topo, const Vector< std::string > &functions) (defined in FD::FFNet) | FD::FFNet | |
| FFNet() (defined in FD::FFNet) | FD::FFNet | [inline] |
| FFNet(FFNet &net) (defined in FD::FFNet) | FD::FFNet | |
| FFNet(const Vector< int > &_topo, const Vector< std::string > &functions, std::vector< float * > &tin, std::vector< float * > &tout) (defined in FD::FFNet) | FD::FFNet | |
| getLayers() (defined in FD::FFNet) | FD::FFNet | [inline] |
| getNbNeurons() (defined in FD::FFNet) | FD::FFNet | [inline] |
| getNbWeights() (defined in FD::FFNet) | FD::FFNet | [inline] |
| getTopo() (defined in FD::FFNet) | FD::FFNet | [inline] |
| getWeights() (defined in FD::FFNet) | FD::FFNet | [inline] |
| init(const Vector< std::string > &functions) (defined in FD::FFNet) | FD::FFNet | |
| isNil() const | FD::Object | [inline, virtual] |
| layers | FD::FFNet | [protected] |
| learn(float *input, float *output, double *gradient, double *err=NULL, float *calc_output=NULL) | FD::FFNet | |
| nbNeurons | FD::FFNet | [protected] |
| nbWeights | FD::FFNet | [protected] |
| newObject(const std::string &objType) | FD::Object | [static] |
| Object() | FD::Object | [inline] |
| ObjectFactoryDictionary() (defined in FD::Object) | FD::Object | [static] |
| operator<<(std::ostream &out, const Object &obj) | FD::Object | [friend] |
| prettyPrint(std::ostream &out=std::cout) const | FD::Object | [inline, virtual] |
| printOn(std::ostream &out) const | FD::FFNet | [virtual] |
| readFrom(std::istream &in) | FD::FFNet | [virtual] |
| ref() | FD::Object | [inline] |
| ref_count (defined in FD::Object) | FD::Object | [protected] |
| serialize(std::ostream &out) const | FD::Object | [virtual] |
| setDerivOffset(float d) (defined in FD::FFNet) | FD::FFNet | |
| setupLayersAfterRead() (defined in FD::FFNet) | FD::FFNet | |
| setWeights(float *ptr) (defined in FD::FFNet) | FD::FFNet | [inline] |
| topo | FD::FFNet | [protected] |
| totalError(std::vector< float * > tin, std::vector< float * > tout) | FD::FFNet | |
| TypeidDictionary() (defined in FD::Object) | FD::Object | [static] |
| unique() | FD::Object | [inline] |
| unref() | FD::Object | [inline] |
| unserialize(std::istream &in) | FD::Object | [virtual] |
| weightedCalcGradient(std::vector< float * > &tin, std::vector< float * > &tout, std::vector< float * > &learnWeights, Array< float > weights, Array< double > &gradient, double &err) | FD::FFNet | |
| weightedLearn(float *input, float *output, float *learnWeights, double *gradient, double *err=NULL, float *calc_output=NULL) | FD::FFNet | |
| weights | FD::FFNet | [protected] |
| ~Object() | FD::Object | [inline, virtual] |
