| classifyVowel(const VowelSample *input) | VowelClassifier | |
| correct_results | VowelClassifier | [static] |
| getExpertName(unsigned int expert_number) | VowelClassifier | |
| getExpertResults(PerceptronNetwork *exp, vector< double > in) | VowelClassifier | [private] |
| getLearningParameters(void) const | VowelClassifier | |
| getNetwork(unsigned int expert_number) const | VowelClassifier | |
| initializeCorrectResults(void) | VowelClassifier | [private] |
| learnVowel(const VowelSample *input) | VowelClassifier | |
| load(fstream &fs) | VowelClassifier | |
| lpar | VowelClassifier | [private] |
| nn_a_ou_ei | VowelClassifier | [private] |
| nn_e_i_aou | VowelClassifier | [private] |
| nn_o_u_aei | VowelClassifier | [private] |
| randomizeExpert(unsigned int expert) | VowelClassifier | |
| resetLearned(void) | VowelClassifier | |
| save(fstream &fs) const | VowelClassifier | |
| setActivationFunction(unsigned int expert_number, PerceptronLayerType type, const char *fact_name) | VowelClassifier | |
| setLearningParameters(VowelClassifierLearnParams params) | VowelClassifier | |
| setRandomizationParameters(unsigned int expert, double weight_low, double weight_high, double theta_low, double theta_high) | VowelClassifier | |
| singleExpertLearn(PerceptronNetwork *exp, vector< double > input, vector< double > optimal) | VowelClassifier | [private] |
| theta_initializations | VowelClassifier | [private] |
| updateLearned(void) | VowelClassifier | |
| VowelClassifier(unsigned int input_dim, const VowelClassifierLayout *layout) | VowelClassifier | |
| VowelClassifier(void) (defined in VowelClassifier) | VowelClassifier | |
| VowelClassifier(VowelClassifier &source) | VowelClassifier | |
| weight_initializations | VowelClassifier | [private] |
| ~VowelClassifier(void) | VowelClassifier | |
