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Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.3/26094
- Title
- The parallel path artificial micronet
- Author(s)
- Murray, Gerard; Hendtlass, Tim; Podlena, John R.
- Abstract
- Conventional artificial neural networks are based on greatly simplified models of biological neurons. In particular only one path exists to carry an input signal to the neuron body. The design of a parallel path artificial micro-net is described which can be used as the basic building block to construct networks. Preliminary training results are presented.
- Publication type
- Conference paper
- Research centre
- Swinburne University of Technology. School of Biophysical Sciences and Electrical Engineering. Centre for Intelligent Systems
- Source
- Lecture Notes in Computer Science : Multiple Approaches to Intelligent Systems : Proceedings 12th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems (IEA/AIE 99), Cairo, Egypt, 31 May-03 June 1999, Vol. 1611, p. 111-117
- Publication year
- 1999
- Keyword(s)
- Computer science; Neural networks; Neurons
- Publisher
- Springer
- ISBN
- 9783540660767
- Publisher URL
- http://dx.doi.org/10.1007/b72302
- Copyright
- Copyright © Springer Berlin Heidelberg 1999.
- Peer reviewed
