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newton
- 运用牛顿法求解非线性函数F(x)=0，应用的是Fortran90语言编写，注意检查猜测值-Using Newton' s method for solving nonlinear function F (x) = 0, application of a Fortran90 language, pay attention to check the guesses
particlefilterprogram
- 对粒子滤波算法的原理和应用进行综述’首先针对非线性非高斯系统的状态滤波问题C阐述粒子滤波的原理D然后在分析采样=重要性=重采样算法基础上C讨论粒子滤波算法存在的主要问题和改进手段D最后从概率密度函数的角度出发C将粒子滤波方法与其他非线性滤波算法进行比较C阐明了粒子滤波的适应性C给出了粒子滤波在一些研究领域中的应用C并展望了其未来发展方向-QJPRQ Elc8&m :jelf dgwd99&jvdej gq:c&decwe 9d:ejv&
case2
- BP神经网络的非线性系统建模-非线性函数拟合-BP neural network for nonlinear system modeling- nonlinear function fitting
case3
- 遗传算法优化BP神经网络-非线性函数拟合-BP neural network genetic algorithm- linear function fitting
PID-self-tuning-of-parameters
- 本文把神经网络技术应用在PID控制中，充分利用神经网络具有非线性函数逼近能力构造神经网络PID自整定控制器。-This paper, the neural network technology used in PID control, the full use of neural network structure with nonlinear function approximation capability PID self-tun
chua2
- 混沌时序多步预测函数 chen函数的matlab仿真，非常有用，连续的非线性函数-Multi-step prediction of chaotic time series function chen function matlab simulation, very useful, continuous nonlinear function
Penalty-function-method
- 罚函数法求解约束方程 注释非常详细 自己编的源程序-Penalty function method for solving the constraint equations themselves very detailed comments of the source code
BP-nonlinear-function-fitting
- BP神经网络的非线性系统建模-非线性函数拟合 拟合的非线性函数-BP neural network for nonlinear system modeling- nonlinear function fitting non-linear function fitting
Particle-swarm-optimization
- 粒子群算法的寻优算法-非线性函数极值寻优-Particle swarm optimization algorithm- Extreme nonlinear function optimization
improved-AFSA
- 基于混沌迭代式的改进鱼群算法用于对非线性函数寻优-an improved Artificial Fish-swarm Algorithm on optimization for unlinear function
nonlinear-function-fitting-BP
- MATLAB工具箱编写BP神经网络的非线性系统用于非线性函数拟合-Written MATLAB toolbox for nonlinear systems BP neural network for nonlinear function fitting
function-extreme-genetic-algorithm
- 运用matlab工具箱的神经网络遗传算法函数进行极值寻优-非线性函数极值-Matlab neural network using genetic algorithm toolbox function optimization Extreme- Extreme nonlinear function
Elevation-fitting
- BP 网络具有以任意精度逼近定义在紧致子集上的任意非线性函数的能力, 因而被广泛应用于识别、预测、拟合。-BP network has to approach any degree of accuracy defined in the compact subset of the capacity of any nonlinear function, which is widely used in identification, pred
ga_main
- 这是一个关于遗传算法解觉非线性函数优化问题的函数，通过它，你可以自己设计初始化参数来求解问题-It is used for some very different problems such as some unliner function
shortroad_ant_main
- 这是一个关于遗传算法解觉非线性函数优化问题的函数，通过它，你可以自己设计初始化参数来求解问题-It is used for some very different problems such as some unliner function
GA
- 遗传算法多目标优化的应用举例，求非线性函数最大值。-Multi-objective optimization genetic algorithm application example, the maximum value of nonlinear function.
Character-Recognition(Lib-SVM)
- 支持向量机的研究现已成为机器学习领域中的研究热点，其理论基础是Vapnik[3]等提出的统计学习理论。统计学习理论采用结构风险最小化准则，在最小化样本点误差的同时，缩小模型泛化误差的上界，即最小化模型的结构风险，从而提高了模型的泛化能力，这一优点在小样本学习中更为突出。SVM理论正是在这一基础上发展而来的，经过十几年的研究和发展，已开始逐步应用于一些领域。在解决小样本、非线性及高维模式识别问题中表现出许多特有的优势，已经在模式识别、函数
ktaub
- Mann-Kendall Tau-b非线性函数，用于时间序列分析中计算平均变化趋势。-The Mann-Kendall Tau-b non-parametric function computes a coefficient representing strength and direction of a trend for equally spaced data. While you do not need the Statistic
chens-synchronzation
- 实现了文献《非线性函数耦合的Chen吸引子网络的混沌同步》的同步仿真-To achieve the literature, " Chen coupled nonlinear function of chaotic attractor network synchronization" synchronous simulation
fimincon
- matlab程序和说明文档。解决一类非线性最优求解问题，求解目标函数最小值。使用matlab中的fimincon函数，求有约束的非线性函数最小值。-matlab program to solve a class of nonlinear optimal problem solving, solving the objective function minimum. Use in matlab fimincon function, see