Centralized and Decentralized Data-Sampling Principles for Outer-Synchronization of Fractional-Order Neural Networks
作者： Jin-E Zhang
DOI: 10.1155/2017/6290646
关键词: Data sampling 、 Mathematical optimization 、 Synchronization (computer science) 、 Computer science 、 Artificial neural network 、 Order (exchange) 、 Artificial intelligence
摘要: This paper aims to investigate the outer-synchronization of fractional-order neural networks. Using centralized and decentralized data-sampling principles and the theory of fractional …
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