It takes the average reader 3 hours and 30 minutes to read Compensatory Genetic Fuzzy Neural Networks and Their Applications by Yan-Qing Zhang
Assuming a reading speed of 250 words per minute. Learn more
This book presents a powerful hybrid intelligent system based on fuzzy logic, neural networks, genetic algorithms and related intelligent techniques. The new compensatory genetic fuzzy neural networks have been widely used in fuzzy control, nonlinear system modeling, compression of a fuzzy rule base, expansion of a sparse fuzzy rule base, fuzzy knowledge discovery, time series prediction, fuzzy games and pattern recognition. This effective soft computing system is able to perform both linguistic-word-level fuzzy reasoning and numerical-data-level information processing. The book also proposes various novel soft computing techniques.
Compensatory Genetic Fuzzy Neural Networks and Their Applications by Yan-Qing Zhang is 206 pages long, and a total of 52,736 words.
This makes it 70% the length of the average book. It also has 64% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 4 hours and 48 minutes to read Compensatory Genetic Fuzzy Neural Networks and Their Applications aloud.
Compensatory Genetic Fuzzy Neural Networks and Their Applications is suitable for students ages 12 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
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