OpenAIR @ RGU >
Design and Technology >
Engineering >
Reports (Engineering) >

Please use this identifier to cite or link to this item:
This item has been viewed 50 times in the last year. View Statistics

Files in This Item:

File Description SizeFormat
MacLeod Practical Algorithms for Incremental.pdf182.65 kBAdobe PDFView/Open
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.
Appears in Collections:Reports (Engineering)

All items in OpenAIR are protected by copyright, with all rights reserved.


   Disclaimer | Freedom of Information | Privacy Statement |Copyright ©2012 Robert Gordon University, Garthdee House, Garthdee Road, Aberdeen, AB10 7QB, Scotland, UK: a Scottish charity, registration No. SC013781