Based on the analysis of the methods for optimizing the fuzzy neural networks before , this paper has finished following works : 1 ) we proposed a learning algorithm based on tabu search for fuzzy neural networks based on the model of anfis proposed by jyh - shing roger jang . then used the system for one variable function ' s approximation . 2 ) based on the first research , we improved the tabu search algorithm for the purpose of approximating complex functions . 3 ) analysis the capabilities of tabu search , and discuss the approximation ability and generalization ability of the fuzzy neural networks system according to the compute results 本文在对以前的模糊神经网络参数学习算法进行分析的基础上,做了以下几个方面的工作: 1 )根据禁忌搜索算法的特点,在jyh - shingrogerjang提出的anfis模型的基础上,将禁忌搜索算法应用于模糊神经网络线性和非线性参数的学习上,并将该模型用于单变量函数的逼近; 2 )在第一阶段的基础上,对算法进行了改进,使改进后的算法能够适用于复杂的ii函数逼近问题; 3 )根据计算机仿真的结果,对禁忌搜索算法的性能进行了分析,并对该模糊神经系统的函数逼近能力和泛化能力进行了讨论。
单: singular number fate; destin ...变量函数: variable function实变量函数: real variable function随机变量函数: function of random variable状态变量函数: state variable function多变量函数发生器: function generator of more variables; multivariable function generator二变量函数发生器: bivar bivariate function generator双变量函数发生器: bivariant function generator; function generator of two variables单变量: monovariant; single argument; single variable量函数: flow function单变量的: monovariant; univariant; univariate单变量调节: single variable control; single-variable control单变量分布: eindimensionale verteilung univariate distribution; univariate distribution单变量分析: univariate analysis单变量级数: univariable series单变量模型: univariate model单变量情形: univariate case单变量求解: goal seek单变量统计: univariate statistics单变量系统: single variable system; single-variable system简单变量: simple variable单纯形法求多变量函数极小值点: fminsearch单纯形法求多变量函数极小值点(旧版): fmins拟牛顿法求多变量函数极小值点: fminunc标量函数: scalar function