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Study on Multi-Feedback Model Based Cultivating Scheme Planning of Industrial Design

Chengxin Yan

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Abstract

It is a complex and systematic project to design cultivating scheme. The cultivating quality talent is much affected by rationality of the cultivating scheme. By analyzing the thought of how BP neural network works, a new model for planning cultivating scheme based on multi-feedback is presented. By this model multiple feedback information should be considered while planning cultivating scheme. Experiments were performed by this model on cultivating scheme planning on industrial design and the new cultivating scheme was obtained.

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What this paper is about

It is a complex and systematic project to design cultivating scheme. The cultivating quality talent is much affected by rationality of the cultivating scheme. By analyzing the thought of how BP neural network works, a new model for planning cultivating scheme based on multi-feedback is presented. By this model multiple feedback information should be considered while planning cultivating scheme. Experiments were performed by this model on cultivating scheme planning on industrial design and the new cultivating scheme was obtained.

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Available abstract

It is a complex and systematic project to design cultivating scheme. The cultivating quality talent is much affected by rationality of the cultivating scheme. By analyzing the thought of how BP neural network works, a new model for planning cultivating scheme based on multi-feedback is presented. By this model multiple feedback information should be considered while planning cultivating scheme. Experiments were performed by this model on cultivating scheme planning on industrial design and the new cultivating scheme was obtained.

Key concepts: Scheme (mathematics), Rationality, Computer science, Industrial engineering, Engineering, Mathematics, Political science, Law

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