World Congress on Neural Networks - 1996
ISBN # 0-8058-2608-4
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Pruning a Softmax Neural Network Using Principled Optimal Brain Damage
- RMG Consulting, 2000 Fresno Road, Plano, Texas 75074
- Martingale Research Corporation
- UT Southwestern Medical Center at Dallas, 8267 Elmbrook, Suite 250, Dallas, TX 75247-9141
- A quasi-linear feedforward softmax artificial neural network architecture known as the CCR (Constrained Categorical Regression) model is introduced which provides an explicit mechanism for representing prior knowledge in the form of deterministic heuristic rules for mapping a given input stimulus activation pattern s into a set of m mutually exclusive outcomes. Introduction of prior knowledge in a principled way into the probability model building process is a key feature of the CCR modeling approach because it provides probability models with interpretable parameters.
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NOTE: This material was based on work sponsored by the National Institute on Alcohol Abuse and Alcoholism. The opinions, findings, and conclusions or recommendations expressed in this publication are those of the authors and do not necessarily reflect the views of the National Institute on Alcohol Abuse and Alcoholism.Skip to navigation