搜索资源列表
PSO
- 用粒子群算法（PSO）优化样本再拟合函数找出最大值-Using Particle Swarm Optimization (PSO) to find optimal maximum sample and then fitting function
GA_BP
- 遗传算法优化BP神经网络的matlab程序，是比BP神经网络更好拟合函数。-Genetic algorithm optimization BP neural network matlab procedure is better than the BP neural network fitting function.
BP1
- 采用L-M优化算法用以训练BP神经网络，使其能够拟合某一附加有白噪声的正弦样本数据。设计一个三层BP神经网络，其网络的隐含层神经元的激励函数为双曲正切型，输出层各神经元的激励函数为线性函数，隐含层有6个神经元-LM optimization algorithm used to train BP neural network to enable it to fit a white noise, sine additional sample data. Design a three BP neura
math_exp
- 很好很实用的matlab工程函数：插值与拟合，代数方程解法，微分方程解法，优化以及综合实验-Matlab works well very useful functions: interpolation and fitting, solution of algebraic equations, differential equation, optimization, and comprehensive experimental
Non-linear-function-fitting
- 非线性函数拟合——利用遗传算法来优化BP神经网络，利用神经网络开发包实现图形化的神经网络模拟，使得神经网络原理更直观，可用于教学，也可用于实际神经网络训练，内附详细帮助文件。-Non-linear function fitting- using genetic algorithms to optimize the BP neural network, neural network development package to implement graphical neural network
ls-svdls
- 最小二乘法（又称最小平方法）是一种数学优化技术。它通过最小化误差的平方和寻找数据的最佳函数匹配。利用最小二乘法可以简便地求得未知的数据，并使得这些求得的数据与实际数据之间误差的平方和为最小。最小二乘法还可用于曲线拟合。其他一些优化问题也可通过最小化能量或最大化熵用最小二乘法来表达。 -Least-squares method (also known as least squares) is a mathematical optimization techniques. It does thi
BP_Mutation
- 遗传算法优化BP神经网络-非线性函数拟合-Genetic algorithm to optimize BP neural network- non-linear function fitting
ga-bp-nonliner
- 遗传算法优化BP神经网——非线性函数拟合-Genetic algorithm to optimize BP neural network- non-linear function fitting
GA-BP
- 遗传算法优化BP神经网络-非线性函数拟合-Genetic algorithm to optimize the BP neural network- nonlinear function fitting
matlab
- 本文主要有BP神经网络的非线性系统建模-非线性函数拟合，还有遗传算法优化BP神经网络-非线性函数拟合等。-In this paper, the BP neural network nonlinear system modeling- nonlinear fitting function, genetic algorithm to optimize BP neural network- non-linear function fitting.
genetic-bp
- 遗传算法优化BP神经网络-非线性函数拟合-Genetic algorithm to optimize BP neural network- non-linear function fitting
BP
- 遗传算法优化BP神经网络-非线性函数拟合 遗传算法典型事例-Genetic algorithm to optimize BP neural network- a non-linear function fitting the typical examples of the genetic algorithm
ANN-F
- 遗传算法优化BP神经网络-非线性函数拟合,将局部寻优与全局寻优相结合-Genetic algorithm to optimize BP neural network- non-linear function fitting, the local optimization combined with global optimization
non-linear-function-fitting
- 遗传算法优化BP神经网络-非线性函数拟合-Genetic algorithm to optimize BP neural network- non-linear function fitting
BPpp
- 遗传算法优化 B P 神经网络非线性函数拟合 根据遗传算法和 B P 神经网络理论-Genetic algorithm optimization BP neural network - non-linear function fitting B P based on genetic algorithms and neural network theory
遗传算法优化BP神经网络-非线性函数拟合
- 基于遗传算法优化神经网络进行故障诊断的研究(Genetic neural network optimization)
遗传算法优化BP神经网络-非线性函数拟合
- 遗传算法优化BP神经网络-非线性函数拟合(Genetic algorithm optimization BP neural network nonlinear function fitting)
案例3 遗传算法优化BP神经网络-非线性函数拟合
- 直接可用的matlab代码，用神经网络解决非线性函数拟合问题(Direct available matlab code to solve nonlinear function fitting problem by neural network)
遗传算法优化BP神经网络-非线性函数拟合
- 遗传算法优化BP神经网络-非线性函数拟合遗传算法优化BP神经网络-非线性函数拟合遗传算法优化BP神经网络-非线性函数拟合遗传算法优化BP神经网络-非线性函数拟合
遗传算法优化BP神经网络-非线性函数拟合
- 遗传算法优化BP神经网络-非线性函数拟合！非常好的算法