Abstract
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.
Supported by the project of produce, study and research of Guangdong, China, granted number: 2010B090400477 and by “the Fundamental Research Funds for the Central Universities”.
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Wang, Z., Liu, M., Ren, X., Cheng, Y. (2013). Research on Electromagnetic Coupling Artificial Neural Network with Spatial Topology. In: Liu, D., Alippi, C., Zhao, D., Hussain, A. (eds) Advances in Brain Inspired Cognitive Systems. BICS 2013. Lecture Notes in Computer Science(), vol 7888. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38786-9_7
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DOI: https://doi.org/10.1007/978-3-642-38786-9_7
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