Effective Data Extraction from Large Scale Signal Processing Systems using Statistical Methods on Fuzzy Variable based Neural Networks
نویسنده
چکیده
Large Scale Signal Processing systems are incapable of storing and working on data which change at high frequencies with large differences in the operating range. This paper looks at an easier method of solving this problem by constructing dynamic fuzzy logic based neural networks after sampling the data using through Bayesian classifier based probabilities. This technique has also been extended to Natural Language Processing systems with reasonable success of 58% by one of the authors, M.N. Karthik, at the AI research offices of Cybernet Software Systems, Inc & Slashsupport, Inc.
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تاریخ انتشار 2002