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Evolving Connectionist Systems: Methods and Applications in Bioinformatics, Brain Study and Intelligent Machines (Perspectives in Neural Computing)

Nikola Kasabov




[PDF.za34] Evolving Connectionist Systems: Methods and Applications in Bioinformatics, Brain Study and Intelligent Machines (Perspectives in Neural Computing)

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 | #12329597 in Books |  2002-12-16 | Original language:English | PDF # 1 |  9.21 x.68 x6.14l,1.00 | File type: PDF | 320 pages

||0 of 0 people found the following review helpful.| An exceptional book for computational biologists|By Dimiter Dimitrov and Igor Sidorov|This exceptional book provides a broad overview of the methods of extracting the knowledge (or in other words building model/system/theory) from the data in various areas: from information theory and artificial intelligence to genetics. It can be very useful for biologists, who wish to use mod

Many methods and models have been proposed for solving difficult problems such as prediction, planning and knowledge discovery in application areas such as bioinformatics, speech and image analysis. Most, however, are designed to deal with static processes which will not change over time. Some processes - such as speech, biological information and brain signals - are not static, however, and in these cases different models need to be used which can trace, and adapt to, t...

You easily download any file type for your device.Evolving Connectionist Systems: Methods and Applications in Bioinformatics, Brain Study and Intelligent Machines (Perspectives in Neural Computing)   |  Nikola Kasabov.Not only was the story interesting, engaging and relatable, it also teaches lessons.

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