It takes the average reader 4 hours and 32 minutes to read Neural Networks and Fuzzy Systems by Shigeo Abe
Assuming a reading speed of 250 words per minute. Learn more
Neural Networks and Fuzzy Systems: Theory and Applications discusses theories that have proven useful in applying neural networks and fuzzy systems to real world problems. The book includes performance comparison of neural networks and fuzzy systems using data gathered from real systems. Topics covered include the Hopfield network for combinatorial optimization problems, multilayered neural networks for pattern classification and function approximation, fuzzy systems that have the same functions as multilayered networks, and composite systems that have been successfully applied to real world problems. The author also includes representative neural network models such as the Kohonen network and radial basis function network. New fuzzy systems with learning capabilities are also covered. The advantages and disadvantages of neural networks and fuzzy systems are examined. The performance of these two systems in license plate recognition, a water purification plant, blood cell classification, and other real world problems is compared.
Neural Networks and Fuzzy Systems by Shigeo Abe is 266 pages long, and a total of 68,096 words.
This makes it 90% the length of the average book. It also has 83% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 6 hours and 12 minutes to read Neural Networks and Fuzzy Systems aloud.
Neural Networks and Fuzzy Systems 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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