@inproceedings{a70e8cb5b04f4548ac79728081090dda,
title = "A novel artificial neural network trained using evolutionary algorithms for reinforcement learning",
abstract = "This paper discusses the development of a novel pattern recognition system using artificial neural networks (ANNs) and evolutionary algorithms for reinforcement learning (EARL). The network is based on neuronal interactions involved in identification of prey and predator in toads. The distributed neural network (DNN) is capable of recognizing and classifying various features. The lateral inhibition between the output neurons helps the network in the classification process - similar to the gate in gating network. The results obtained are compared with standard neural network architectures and learning algorithms.",
author = "A. Reddipogu and G. Maxwell and C. MacLeod and M. Simpson",
note = "Publisher Copyright: {\textcopyright} 2002 Nanyang Technological University.; 9th International Conference on Neural Information Processing, ICONIP 2002 ; Conference date: 18-11-2002 Through 22-11-2002",
year = "2002",
doi = "10.1109/ICONIP.2002.1199013",
language = "English",
series = "ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1946--1950",
editor = "Kunihiko Fukushima and Lipo Wang and Rajapakse, \{Jagath C.\} and Soo-Young Lee and Xin Yao",
booktitle = "ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing",
address = "United States",
}