Abstract
According to the fuzziness of assessment system about university scientific research capability, this paper puts forward to a comprehensive judgment method basis on improved discredited Hopfield neural network to establish assessment model and studies with examples. It indicates that it is a practical and simple assessment model with a higher resolution and actual assessment results and it offers scientific reference for recognizing university scientific research capability, self-diagnosis and adjustment as well as promoting university ranking.
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Xie, H., Ji, Z., Si, L. (2012). Study on College Scientific Research Capability Evaluation System Based on Neural Network. In: Wu, Y. (eds) Advanced Technology in Teaching - Proceedings of the 2009 3rd International Conference on Teaching and Computational Science (WTCS 2009). Advances in Intelligent and Soft Computing, vol 116. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11276-8_63
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DOI: https://doi.org/10.1007/978-3-642-11276-8_63
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-11275-1
Online ISBN: 978-3-642-11276-8
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