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Application of Predictive Coding in Neuroevolution
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 114 - Number 2 |
| Year of Publication: 2015 |
| Authors: Heman Mohabeer, K.m. Sunjiv Soyjaudah |
10.5120/19953-1782
|
Heman Mohabeer, K.m. Sunjiv Soyjaudah . Application of Predictive Coding in Neuroevolution. International Journal of Computer Applications. 114, 2 ( March 2015), 41-47. DOI=10.5120/19953-1782
Abstract
This paper presents promising results achieved by applying a new coding scheme based on predictive coding to neuroevolution. The technique proposed exploits the ability of a bit, which contains sufficient information, to represent its neighboring bits. In this way, a single bit represents not only its own information, but also that of its neighborhood. Moreover, whenever there is a change in bit representation, it is determined by a threshold value that determine the point at which the change in information is significant. The main contributions of this work are the following: (i) the ratio of the number of bits to the amount of information content is reduced; (ii) the complexity of the overall system is reduced as there is lesser amount of bit to process; (iii) Finally, we successfully apply the coding scheme to NEAT, which is used as a biometric classifier for the authentication of keystroke dynamics
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