期刊文献+

基于神经网络的数值预测技术在船舶与海洋工程中的应用研究 被引量:4

Application study for numerical value predicting technology based on neural network in ship and ocean engineering
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摘要 本文结合船舶与海洋工程的一些实际问题,探讨了利用改进的BP神经网络进行数值预测的方法和应该注意的问题,并给出了一些有益的建议。
出处 《造船技术》 北大核心 2004年第6期41-45,40,共6页
基金 国家自然科学基金资助专项基金项目(50323004)
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参考文献4

  • 1Wasserman P D. Neural computing: theory and practice. Van Nostrand Reinhold,1989
  • 2Simpson P K.Artificial neural systems-foundation, paradigms, applications and implement.New York:Pergamon Press inc,1990.
  • 3Geogre D M, Michael N V, Geogre S A. Effective backpropagation training with variable stepsize. Neural Networks,1997,10(1):69
  • 4Charles W L. Training feedforward neural networks: an algorithm giving improved generalization. Neural Networks,1997, 10(1): 61

同被引文献22

  • 1王辉华,刘文化,王航宇.基于神经网络的舰船运动短期预测[J].计算机仿真,2006,23(5):18-20. 被引量:6
  • 2赵学军,熊文海.基于改进BP神经网络的船舶操纵性能预报[J].上海船舶运输科学研究所学报,2006,29(1):48-51. 被引量:2
  • 3Villiers de J, Bamard E. Back-propagation Neural Nets with One and Two Hidden Layers[J]. IEEE Transactions on Neural Networks, 1993,4(1) : 136.
  • 4Wasserman P D. Neural computing: theory and practice [ M ]. Van Nostrand Reinhold,1989.
  • 5Simpson P K. Artificial neural systems-foundation,paradigms, applications,and implement [ M ]. Pergamon Press inc, New York, USA, 1990
  • 6Geogre D M, Michael N V, Geogre S A. Effective back- propagation training with variable stepsize [ J ]. Neural Networks, 1997,10 ( 1 ) .69 - 82.
  • 7Charles W L. Training feedforward neural networks : an algorithm giving improved generalization [ J ]. Neural Networks,1997,10(1) :61 -68.
  • 8Shiwei YU, Keijun ZHU, Fengqin DIAO. A Dynamic all Parameters Adaptive BP Networks Model and its Application on Oil Reservoir Prediction[J]. Appl,Math. Comput,2007,(4).
  • 9Sadeghi B H M. A BP-neural network predictor model for plastic injection molding process[ J]. Journal of Materials Processing Technology ,2000,103 ( 7 ).
  • 10俞铭华,吴剑国,徐昌文,杜忠仁.运输船舶金属船体重量的神经估算[J].中国造船,1997,38(3):93-99. 被引量:5

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