Periodic solution and global exponential stability for shunting inhibitory delayed cellular neural networks.
Chen, Anping, Cao, Jinde, Huang, Lihong (2004)
Electronic Journal of Differential Equations (EJDE) [electronic only]
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Chen, Anping, Cao, Jinde, Huang, Lihong (2004)
Electronic Journal of Differential Equations (EJDE) [electronic only]
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Huang, Zuda, Peng, Lequn, Xu, Min (2010)
Electronic Journal of Differential Equations (EJDE) [electronic only]
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Wang, Lijuan, Shao, Jianying (2008)
Electronic Journal of Differential Equations (EJDE) [electronic only]
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Hien, Le Van, Loan, Tran Thi, Tuan, Duong Anh (2008)
Electronic Journal of Differential Equations (EJDE) [electronic only]
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Dai, Binxiang, Huang, Lihong, Qian, Xiangzhen (2003)
Electronic Journal of Differential Equations (EJDE) [electronic only]
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Wang, Qing, Liu, Xinzhi (2008)
The Journal of Nonlinear Sciences and its Applications
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Wu, Yuanheng, Zhou, Zhan (2009)
Electronic Journal of Differential Equations (EJDE) [electronic only]
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Xiao, Bing, Zhang, Hong (2007)
Electronic Journal of Differential Equations (EJDE) [electronic only]
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Li, Yongkun, Ren, Yaping (2008)
Electronic Journal of Differential Equations (EJDE) [electronic only]
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Yang, Xinsong, Huang, Chuangxia (2010)
Analele Ştiinţifice ale Universităţii “Ovidius" Constanţa. Seria: Matematică
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Guo, Shangjiang, Huang, Lihong, Wu, Jianhong (2003)
Electronic Journal of Differential Equations (EJDE) [electronic only]
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Li, Bing, Xu, Daoyi (2006)
Electronic Journal of Differential Equations (EJDE) [electronic only]
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Miguel Delgado, M. Carmen Pegalajar, Manuel Pegalajar Cuéllar (2006)
Mathware and Soft Computing
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Theoretical and experimental studies have shown that traditional training algorithms for Dynamical Recurrent Neural Networks may suffer of local optima solutions, due to the error propagation across the recurrence. In the last years, many researchers have put forward different approaches to solve this problem, most of them being based on heuristic procedures. In this paper, the training capabilities of evolutionary techniques are studied, for Dynamical Recurrent Neural Networks. The...