A Method for Solving Computer-Aided Product Design Optimization Problem Based on Back Propagation Neural Network

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• 来源
  《中国化学工程学报：英文版》 |2004年第4期|510-514|共5页
• 作者

  周祥; 何小荣; 陈丙珍;

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• 作者单位

  Department of Chemical Engineering;

  Tsinghua University;

  Beijing 100084;

  China;

  Department of Chemical Engineering;

  Tsinghua University;

  Beijing 100084;

  Chinaecause of the powerful mapping ability;

  back propagation neural network (BP-NN) has been employed in computer-aided product design (CAPD) to establish the property prediction model. The backward problem in CAPD is to search for the appropriate structure or composition of the product with desired property;

  which is an optimization problem. In this paper;

  a global optimization method of using the a BB algorithm to solve the backward problem is presented. In particular;

  a convex lower bounding function is constructed for the objective function formulated with BP-NN model;

  and the calculation of the key parameter a is implemented by recurring to the interval Hessian matrix of the objective function. Two case studies involving the design of dopamine β-hydroxylase (DβH) inhibitors and linear low density polyethylene (LLDPE) nano composites are investigated using the proposed method.;

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• 原文格式 PDF
• 正文语种 chi
• 中图分类 人工神经网络与计算;
• 关键词

  计算机辅助设计; CAPD; 矩阵; 产品设计; 优化设计; 化工; 制药; 神经网络; PNN;

  机译：计算机辅助设计;CAPD;矩阵;产品设计;优化设计;化工;制药;神经网络;PNN;