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₦‎ 1000
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₦‎ 300
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Computer Neural Networks on MATLAB

Computer Neural Networks on MATLAB eBook
by Daniel Okoh (Author)

₦‎1000       |      0 Sold

This book illustrates how to use computer neural networks on MATLAB in very simple and elegant manner for modelling, forecasting, and predictions. It is a product of sound commitment and deep desire to share knowledge with wider community.

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Book Details

Book ISBN:

Book Code: eCNNOM2016

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Book Format: PDF

Book Pages: 52 Pages

Book Availability: Auto-Delivered Wirelessly

Book Size: 1.6 MB

Book Views on LaPrice: 1030 Times


Computer neural networks are a branch of artificial intelligence, inspired to behave in a manner similar to the human brain; they are trained and they learn from their training. Computer neural networks have a wide variety of applications, mostly hinged around modeling, forecasting, and general predictions.

This book illustrates how to use computer neural networks on MATLAB in very simple and elegant manner. The language of the book is elementary as it is meant for beginners; readers are not assumed to have previous skills on the subject. Projects, in varying degrees, have been used to make sure that readers get a practical and hands-on experience on the subject. The book is meant for you if you want to get a quick start with the practical use of computer neural networks on MATLAB without the boredom associated with a lengthy theoretical write-up.

More About the Author

› Visit LaPrice's Okoh Daniel Page
Computer Neural Networks on MATLAB - Daniel Okoh: Computers & Technology eBook |
Dr. Daniel Okoh is a research scientist with the Space Environment Research Laboratory, operated by the Center for Atmospheric Research, National Space Research and Development Agency, Nigeria. Daniel holds a First Class BSc Hons Degree in Physics and Astronomy from the University of Nigeria, and a Distinction MSc Degree in Space Physics from Rhodes University. He has also recently received his PhD in Astrophysics from the University of Nigeria. Daniel has received research fellowships and scholarships from prestigious organizations like the World Academy of Science (TWAS), the Chinese Academy of Science (CAS), and the National Astrophysics and Space Science Program (NASSP). His research interests are in the fields of Space Science and Astrophysics, and he particularly has huge interest in Ionospheric Modeling. He has contributed a number of novel techniques for ionospheric modeling. Daniel enjoys sharing his experiences on how space applications work, and he is delighted to discuss emerging ideas that are innovative for space applications.


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