matlab-ANNandKringing-master
所属分类：人工智能/神经网络/深度学习
开发工具：matlab
文件大小：2778KB
下载次数：7
上传日期：2020-07-27 16:20:13
上 传 者：
mu116699
说明： 实现高阶响应面的拟合计算提高运算功能，运用了RBF径向基神经网络和Kriging算法进行差值计算提高响应面的精度。
(Realize the high-order response surface fitting calculation to improve the calculation function, and use the RBF radial basis neural network and Kriging algorithm to calculate the difference to improve the accuracy of the response surface.)
文件列表:
Ackley.m (5467, 2019-11-17)
Ackley.png (228761, 2019-11-17)
Alpine.png (254805, 2019-11-17)
Alpine_NO.m (6482, 2019-11-17)
Generalizedpolynomialfunction.m (5681, 2019-11-17)
Generalizedpolynomialfunction.png (270894, 2019-11-17)
Himmelblaufunction.m (5645, 2019-11-17)
Himmelblaufunction.png (282687, 2019-11-17)
IDETC2019-97510.pdf (960265, 2019-11-17)
Leonsfunction.m (5596, 2019-11-17)
Leonsfunction.png (264353, 2019-11-17)
RastriginFunction.png (282979, 2019-11-17)
RastriginFunction_NO.m (5836, 2019-11-17)
SchaffersFunction.m (5521, 2019-11-17)
SchaffersFunction.png (262565, 2019-11-17)
SixhumpCamelBackfunction.m (5772, 2019-11-17)
SixhumpCamelBackfunction.png (264965, 2019-11-17)
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