Application of the CMAC input encoding scheme in the N-tuple approximation network

Kolcz, A. and Allinson, N. M. (1994) Application of the CMAC input encoding scheme in the N-tuple approximation network. IEE Proceedings - Computers and Digital Techniques, 141 (3). pp. 177-183. ISSN UNSPECIFIED

Documents
00287060.pdf
[img]
[Download]
Request a copy
[img] PDF
00287060.pdf - Whole Document
Restricted to Repository staff only

621Kb

Official URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?...

Abstract

The N-tuple approximation network offers many advantages over conventional neural networks in terms of speed of operation and its ability to realise arbitrary nonlinear mappings. However, its generalisation/selectivity properties depend strongly on the form of input encoding being used in the system. The paper analyses the suitability of use of the CMAC code for the N-tuple networks, and compares its properties with existing schemes. It is argued that the application of this type of encoding can provide desirable monotonic mapping between input and pattern space distances without the penalty of very long binary patterns as is the case for bar-chart encoding. Additionally, similarities between the classic N-tuple and CMAC networks are highlighted

Item Type:Article
Additional Information:The N-tuple approximation network offers many advantages over conventional neural networks in terms of speed of operation and its ability to realise arbitrary nonlinear mappings. However, its generalisation/selectivity properties depend strongly on the form of input encoding being used in the system. The paper analyses the suitability of use of the CMAC code for the N-tuple networks, and compares its properties with existing schemes. It is argued that the application of this type of encoding can provide desirable monotonic mapping between input and pattern space distances without the penalty of very long binary patterns as is the case for bar-chart encoding. Additionally, similarities between the classic N-tuple and CMAC networks are highlighted
Keywords:networks, CMAC, coding, N-tuple networks, bmjdoi
Subjects:G Mathematical and Computer Sciences > G730 Neural Computing
Divisions:College of Science > School of Computer Science
ID Code:5073
Deposited By: Tammie Farley
Deposited On:20 Apr 2012 18:08
Last Modified:13 Mar 2013 09:06

Repository Staff Only: item control page