A New Bidirectional Neural Network for Lexical Modeling and Speech Recognition Improvement

Publish Year: 1384
نوع سند: مقاله کنفرانسی
زبان: English
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ACCSI11_212

تاریخ نمایه سازی: 5 آذر 1390

Abstract:

multi - agent systems has generated lots of excitement in re-cent years because of its promise as a new paradigm for conceptualizing designing and implementing software systems. One of the most important aspects of agent design in AI is the way agent acts or responds to the environment that the agent is acting upon. an effective action selection and behavioural method requires a good priority extraction method for finding the best actions . we have introduced an easy way for doing such a thing using delayed rewards. we have also applied the method to the rbocup rescue simulation agents.

Authors

Mohammad Reza Yazdchi

Faculty of Biomedical Engineering AmirKabir University of Technology Tehran, Iran

Seyyed Ali Seyyed Salehi

Faculty of Biomedical Engineering AmirKabir University of Technology Tehran, Iran

Farshad Almasganj

Faculty of Biomedical Engineering AmirKabir University of Technology Tehran, Iran

Reza Zafarani

Computer Engineering Department University of Isfahan Isfahan ۸۱۷۴۵, Iran

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