Autonomous Neural Development and Pruning

نویسنده

  • André Christoffer Andersen
چکیده

The main motivation behind this project comes from the observation that topological structures of neural networks intended for engineering purposes often seem to be chosen more or less arbitrarily or with a rule of thumb. This project seeks to explore a biological inspired method for autonomous development and pruning of non-noisy back-propagating neural networks. Learning will be divided in to three distinct phases development, pruning and apoptosis where the network will initially overexpand then contract to a more computationally tractable valency and topology. Thus, the actual computational efficiency of learning will be neglected in favor of ease of implementation and computational efficiency in actual usage.

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تاریخ انتشار 2010