[PDF.69wp] Structure Level Adaptation for Artificial Neural Networks (The Springer International Series in Engineering and Computer Science)

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

[PDF.ap04] Structure Level Adaptation for Artificial Neural Networks (The Springer International Series in Engineering and Computer Science)

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 | #6861750 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 easily download any file type for your device.Structure Level Adaptation for Artificial Neural Networks (The Springer International Series in Engineering and Computer Science)   |  Tsu-Chang Lee. I have read it a couple of times and even shared with my family members. Really good. Couldnt put it down.

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