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Structure Level Adaptation for Artificial Neural Networks (The Springer International Series in Engineering and Computer Science)

Tsu-Chang Lee




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 | #7526478 in Books |  Springer |  1991-05-31 | Original language:English | PDF # 1 |  9.21 x.56 x6.14l,1.13 | File type: PDF | 212 pages

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||0 of 0 people found the following review helpful.| An excellent book. A must read for hard core NN enthusiasts.|By Loudmouth|I found the beginning of the book a bit tedious but, once I made it past the background material and into the core concepts, it got really exciting. This book proposes a technique for dynamically evolving the structure of a nueral net during training. I haven't tried implementing it, but it's a fascinatin

63 3. 2 Function Level Adaptation 64 3. 3 Parameter Level Adaptation. 67 3. 4 Structure Level Adaptation 70 3. 4. 1 Neuron Generation . 70 3. 4. 2 Neuron Annihilation 72 3. 5 Implementation . . . . . 74 3. 6 An Illustrative Example 77 3. 7 Summary . . . . . . . . 79 4 Competitive Signal Clustering Networks 93 4. 1 Introduction. . 93 4. 2 Basic Structure 94 4. 3 Function Level Adaptation 96 4. 4 Parameter Level Adaptation . 101 4. 5 Structure Level Adaptation 104 4. 5. 1 ...

You can specify the type of files you want, for your gadget.Structure Level Adaptation for Artificial Neural Networks (The Springer International Series in Engineering and Computer Science)   |  Tsu-Chang Lee. I was recommended this book by a dear friend of mine.

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