文献类型：期刊文献

英文题名：Research on electromagnetic coupling artificial neural network with spatial topology

作者：Wang, Ziyin[1]; Liu, Mandan[1]; Ren, Xiang[1]; Cheng, Yicheng[1]

机构：[1] Key Laboratory of Advanced Control and Optimization for Chemical Processes, East China University of Science and Technology, Ministry of Education, Shanghai 200237, China

年份：2013

卷号：7888 LNAI

起止页码：57

外文期刊名：Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

收录：EI(收录号：20133016527550)

语种：英文

外文关键词：Electromagnetic coupling - Differential equations - Topology

摘要：In this paper, an emerging artificial neural network (ECANN) is proposed. Abstracting from a latest research in neuroscience, electromagnetic coupling among neuron activities is introduced into the model. Besides, the overall network can be viewed as a system with physical significance of circuitry, and each neuron is presented as differential equation. At the mean time, the spatial grid topology is employed in order to develop its parallelism. This artificial neural network is designed for fitting and predicting dynamic data, and has successfully worked in simulation part of this paper. ? 2013 Springer-Verlag.