Computational neural networks

Jar Ferr Yang, Chi Ming Chen

研究成果: Paper

摘要

In this paper, we discuss an approach for designing the computational neural network, which is mainly composed of a hardlimiter neuron, a updated neuron, and a search function neuron, to solve some computational problems. The computation-by-search (CBS) scheme can effectively solve some complicated problems in the condition that their search functions can be easily obtainable by some existing neural networks. The convergence of the suggested neural networks to achieve the solution are discussed and analyzed. Both theoretical analyses and simulated results show that the proposed neural network can effectively solve the complicated computational problems such that they belong to the rational functions or their inverse functions can be easily implemented by using an existing network.

原文English
頁面1249-1253
頁數5
出版狀態Published - 1995 十二月 1
事件Proceedings of the 1995 IEEE International Conference on Neural Networks. Part 1 (of 6) - Perth, Aust
持續時間: 1995 十一月 271995 十二月 1

Other

OtherProceedings of the 1995 IEEE International Conference on Neural Networks. Part 1 (of 6)
城市Perth, Aust
期間95-11-2795-12-01

    指紋

All Science Journal Classification (ASJC) codes

  • Software

引用此

Yang, J. F., & Chen, C. M. (1995). Computational neural networks. 1249-1253. 論文發表於 Proceedings of the 1995 IEEE International Conference on Neural Networks. Part 1 (of 6), Perth, Aust, .