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- W2362017268 abstract "This paper proposes a architecture of Parallel Cooperative Modular Neural Network based on Gradient (GPCMNN) which by means of Decomposition Module (DM)automatically divides a complex task into a series of sub tasks in terms of gradient. Sub Space Recognition Module (SRM) and Sub Task Module (STM) carry out learning and identify sub samples spaces. The Ensemble Module (EM) integration strategy can arrive at a solution to a given task. Its algorithm has the advantage of automatic decomposition of given task and its modular training of network. Experiments show that the architecture proposed in this paper is practicable and effective and is superior to non_modular methods due to its high efficiency for a parallel network system structure, easy implementation by hardware, moreover, it kept the PCMNN’s [7]advantages and improve its lack." @default.
- W2362017268 created "2016-06-24" @default.
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- W2362017268 date "2004-01-01" @default.
- W2362017268 modified "2023-09-23" @default.
- W2362017268 title "GPCMNN: A Parallel Cooperative Modular Neural Network Architecture Based on Gradient" @default.
- W2362017268 hasPublicationYear "2004" @default.
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