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BPexample
- 开发环境:Matlab 简要说明:动量-自适应学习调整算法。在实际应用中，原始的BP算法很难胜任，因此出现了很多的改进算法。BP算法的改进主要有两种途径，一种是采用启发式学习方法，另一种则是采用更有效的优化算法。本例采用动量BP算法，来实现对网络的训练过程，动量法降低了网络对于误差曲面局部细节的敏感性，有效地抑制网络陷于局部极小。-development environment : Matlab Brief Descr iption : Momentum-adaptive learning
ReversibleJumpMCMCSimulatedAnneaing
- This demo nstrates the use of the reversible jump MCMC simulated annealing for neural networks. This algorithm enables us to maximise the joint posterior distribution of the network parameters and the number of basis function. It performs a global se
EMDduandianchuli
- 利用神经网络分析方法对一个给定信号的两端进行延拓，在数据的两端各得到两个附加的极大值点和两个附加的极小值点.由此利用三次样条函数得到原始信号的上下包络线和平均包络线，实现了准确的EMD分解. -The use of neural network analysis of a signal at the two ends of a given extension to the data obtained at the two ends of the two additional maxima a
findlocal_min
- fast 1d and 2d local minima detector
PSO(simple)
- 一个动画模拟的粒子寻找最小值的一个简单程序，有助于学习粒子群法-an animated simulation of particles searching for the minima of a simple function，which helps you learn PSO.
SimulatedAnnealing
- Simulated Annealing (SA) is a smart (meta)-heuristic for Optimization. Given a cost function in a large search space, SA replaces the current solution by a random "nearby" solution. The nearby solution is chosen with a probability that depends on the
steepest_method_with_const_step
- NUMERICAL OPTIMIZATION: This steepest descent method with constant step length to find the minima of f(x, y) = xy exp(− 2x^2 − y^2 + 0.3y) Graphical represxentation in 5 ways of solution, simple and clear explained.-NUMERICAL OPTIMIZ
PARS.cpp
- Program for finding minima of functions of several variables, several methods (Powell, Polak-Riber, Pearson, etc.)
ShuLex
- Program for finding minima of functions of several variables, several methods with GUI.
peakdet
- Peak detection is one of the most important time-domain functions performed in signal monitoring. Peak detection is the process of finding the locations and amplitudes of local maxima and minima in a signal that satisfies certain properties. These pr
1
- 机械优化设计作业，黄金分割法与进退法编程，求解一维极小点-Optimization of Mechanical Design jobs, golden section method and the advance and retreat method program, solving one-dimensional minima
findpks_MinMax
- Find peaks in signal. Look for local maxima and minima. In the window of search find the maximum maxima and the minimum minuma. Return two values which are the maximum and the minimum local maximas
Extrema_calculations
- Calculates the extrema (maxima and minima) of time domain waveform
svm_wenxian
- 支持向量机是一种新颖的机器学习方法，主要用于模式识别、回归预测、函数逼近、参数估计。相比于其他的学习方法，支持向量机不仅克服了非线性，局部极小和维数灾难问题，而且具有更好的泛化能力。-Support vector machine is a novel machine learning method, mainly for pattern recognition, regression, function approximation, parameter estimation. Compared
newton
- newton method for finding the minima of a function
zuisuxiajiang
- 最速下降法，优化算法的一种，具有二次收敛性，若目标函数为二次正定函数，经有限步可达到极小点-Steepest descent method, an algorithm with quadratic convergence, if the objective function is quadratic positive definite function can be achieved by the finite step minima
SUMT
- sumt法，具有二次收敛性，若目标函数为二次正定函数，经有限步可达到极小点-sumt method, with quadratic convergence, if the objective function is quadratic positive definite function can be achieved by the finite step minima
DFP
- DFP法，变尺度法，优化算法的一种，具有二次收敛性，若目标函数为二次正定函数，经有限步可达到极小点-DFP method, variable metric method, an algorithm with quadratic convergence, if the objective function is quadratic positive definite function can be achieved by the finite step minima
local_minmaxcpp
- fast 1d and 2d local minima detector
newton2
- nonlinear optimization code can find local or global minima