Fundamentals of neural networks

Multi-objective Optimization of EDM Process with Performance Appraisal of GA based Algorithms in Neural Network Environment

Reticular Activating system which has a form of small neural networks in the brain is closely related system with the automatic nervous system. It takes charge of the function that distinguishes between memorizing one and the others, accepts the only selected information and discards the unnecessary things.In this paper, we propose Reticular Activating system which has functions of selective reaction, learning and inference. This system consists of Knowledge acquisition, selection , storing and retrieving part. Reticular Activating layer is connected to Meta knowledge in the high level of this system and takes part in Data Selection. We applied this system to the problem of analyzing the customer's tastes.

Automatic knowledge configuration by reticular activating system

Tese de mestrado. Engenharia Electrotecnica. Faculdade de Engenharia. Universidade do Porto. 1998

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Sistemas inteligentes de transporte

Speech is the most intuitive way of communication, except for mutes and deaf-mutes. Hong Kong, a multicultural society, is an ideal place to develop a multi-lingual (Cantonese, Mandarin, and English) ASRVR system. Once this happened, numerous techniques were explored of the three major stages of speech data: segmentation, preprocessing, and recognition. The speech segmentation process includes the convex hull method for finding S/sub min/, SVF for S/sub max/, and normal decomposition for S/sub opt/. The sub-word boundaries are considered by the LBDP-based method. The three proposed feature extraction methods for speech preprocessing are MFCCs, RASTA, and FBDCCs. Speech recognition is the final phase of our system. Approaches including Navie Bayesian classification, HMM with Viterbi algorithm, and backpropagation with a two-hidden-layer structure are studied in this paper. The best performance for multi-lingual recognition in our system can be found as applying MFCCs into HMM, after the segmentation procedure.

Fundamentals of neural networks

Citations

Multi-objective Optimization of EDM Process with Performance Appraisal of GA based Algorithms in Neural Network Environment

Automatic knowledge configuration by reticular activating system

Sistemas inteligentes de transporte

A comparative study of speech segmentation and feature extraction on the recognition of different dialects

Neural Networks: Fundamentals and the Backpropagation Model

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