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Neural Smithing: Supervised Learning in Feedforward Artificial Neural Networks
Russell D. Reed and Robert J. Marks II
Copyright © 1999 Massachusetts Institute of Technology

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List of Tables

Table 1.1: Artificaial Neural Networks versus Real Nervous Systems.
Table 7.1: Weight Initialization Parameters.
Table 8.1: Relationship of Node Gain, Learning Rate, and Weight Magnitude (from [369]).
Table 17.1: Weight-decay Effects of Training with Jitter. Training with Jitter Tends to Produce Smaller Weights.
Table D.1: Common Node Nonlinearities

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