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Radial Basis Function Neural Networks With Sequential Learning: Mran and Its Applications (Progress in Neural Processing, 11)

N. Sundararajan, Ying Wei Lu




[PDF.ee52] Radial Basis Function Neural Networks With Sequential Learning: Mran and Its Applications (Progress in Neural Processing, 11)

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 | #1307284 in Books |  1999-12 | Original language:English | PDF # 1 |  8.75 x6.25 x.75l,.0 | File type: PDF | 260 pages

||6 of 6 people found the following review helpful.| Radial Basis Function Neural Ntewirks|By A Customer|Unfortunately this book fall very short of its promised objective. Anyone interested in Radial Basis Function networks is well advised to wait for a proper book on the subject. The book covers the RBF only in couple of pages. The rest is simply an advertisement of authors own algorithm, MRAN.|0 of 1 people found the follow

This book presents in detail the newly developed sequential learning algorithm for radial basis function neural networks, which realizes a minimal network. This algorithm, created by the authors, is referred to as Minimal Resource Allocation Networks (MRAN). The book describes the application of MRAN in different areas, including pattern recognition, time series prediction, system identification, control, communication and signal processing. Benchmark problems from these...

You can specify the type of files you want, for your device.Radial Basis Function Neural Networks With Sequential Learning: Mran and Its Applications (Progress in Neural Processing, 11)   |  N. Sundararajan, Ying Wei Lu.Not only was the story interesting, engaging and relatable, it also teaches lessons.

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