Discovering Unordered Rule Sets for Mixed Variables Using an Ant-Miner Algorithm

Extensions to the Ant-Miner Classification Rule Discovery Algorithm

Thai monosyllabic words recognition using ant-miner algorithm

In this paper, Ant-Miner software is used to develop classification rules for Thai monosyllabic words. The hypothetical words used in this paper are composed of 65 command monosyllabic Thai words. The binary desired outputs were used during training 520 Thai words consist of 10 numerals and single-syllable, 65 words in each group were used for system evaluation. In order to improve recognition ...

Monosyllabic Thai Tone Recognition Using Ant-Miner Algorithm

Recognition of tone is essential for speech recognition and language understanding. A monosyllabic Thai tone recognition system, which is based on the Ant-Miner algorithm. The system is composed of three main process, fundamental frequency (F0) extraction from input speech signal, analysis of F0 contour for feature extraction, In the F0 feature extraction, the polynomial regression functions ar...

ABC-Miner: An Ant-Based Bayesian Classification Algorithm

Bayesian networks (BNs) are powerful tools for knowledge representation and inference that encode (in)dependencies among random variables. A Bayesian network classifier is a special kind of these networks that aims to compute the posterior probability of each class given an instance of the attributes and predicts the class with the highest posterior probability. Since learning the optimal BN st...

Rule Extraction Based on Extreme Learning Machine and an Improved Ant-Miner Algorithm for Transient Stability Assessment

In order to overcome the problems of poor understandability of the pattern recognition-based transient stability assessment (PRTSA) methods, a new rule extraction method based on extreme learning machine (ELM) and an improved Ant-miner (IAM) algorithm is presented in this paper. First, the basic principles of ELM and Ant-miner algorithm are respectively introduced. Then, based on the selected o...