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Please use this identifier to cite or link to this item: http://hdl.handle.net/10059/471
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Title: Practical algorithms for incremental growth.
Authors: MacLeod, Christopher
Keywords: Algorithms
Incremental Growth
Issue Date: 2010
Publisher: Robert Gordon University
Citation: MACLEOD, C., 2010. Practical algorithms for incremental growth. Aberdeen: Robert Gordon University.
Abstract: This report considers some of the practical issues involved in the implementation of Incremental Growth or Incremental Evolution algorithms as outlined in the paper: Incremental Growth in Modular Neural Networks (doi:10.1016/j.engappai.2008.11.002), originally published in the journal Engineering Applications of Artificial Intelligence and the article: Minds for Robots, published in the magazine Electronics World. These algorithms allow a Neural Network or similar system to grow, piece by piece, in a controlled manner. The sections below consider the data structures, algorithms and programming techniques which can be used and also addresses unit functionality and possibilities for interesting further work.
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