MATLAB NN和优化工具箱在设计优化中的应用

Application of MATLAB Neural Network and Optimization Toolbox in Design Optimization

作为一种近似模型建立方式,人工神经网络技术能够较快地进行函数逼近,精度也能满足工程需要。介绍了MATLAB神经网络和优化工具箱的特性和联合使用,并通过与C++的混合编程将其集成到优化程序框架中。通过一个运输机起飞重量的优化实例,证明MATLAB的神经网络和优化工具箱的联合使用是工程设计中一种有效的优化策略。

Artificial Neural Network（ANN） teclmology,as a method in approximation modeling,can approximate function rapidly while its accuracy is efficient for engineering problem.Application of Artificial Neural Network and Optimization toolbox in MATLAB are introduced and toolbox functions are integrated into optimization framework through programming with C＋＋.The approach is demonstrated in a transport concept design to minimize the vehicle gross take off weight as an efficiently way for practical design optimization.