搜索资源列表
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.
Atoolbox
- A collection of functions is presented which includes 2nd generation wavelet decomposition and reconstruction tools for images as well as functions for the computation of moment invariants. The wavelet schemes rely on the lifting scheme of Sweldens.
huangjin
- 最优化中的实例，利用黄金分割法求出下单峰函数极小点-Optimization of the examples, the use of golden section method are obtained under the single-peak function minima
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
MinMaxFilterFolder
- Min/Max filter，最大最小滤波器，说明看英文，只是国外的人写的代码， -Descr iption The filter computes the minima and/or maxima of an array over sliding window with a given size. Multidimensional array is fully supported: running filter in 1D, 2D filter for image process
29175-29175.ZIP
- Mathematical methods are an alternative to tackle visual perception. The central idea behind these methods is to reformulate the visual perception components as optimization problems where the minima of a specifically designed objective functio
10.1.1.3.8227
- Noise Estimation by Minima Controlled Recursive Averaging for Robust Speech Enhancement
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
EyePos
- 最小邻域均值投影函数及其在眼睛定位算法.提出一种投影函数：最小邻域均值投影函数．该函数通过计算每条投影线上各像素点邻域均值的最小值 来跟踪图像中的低灰度特征．与传统的积分投影函数和方差投影函数相比，它以求最小值的局部选择性代替传统投 影函数的全局累加性，因此具有对片状噪声不敏感的特点、此外，在计算过程中，它还能记录最小值点的二维位置信 息，是一个二维的搜索算子、最小邻域均值投影函数的这些特点使其非常适合于眼睛定位．它对眼睛，特别是瞳孔，总 能够产生精确、鲁棒的响应通过在CAS—P
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
local_minmaxcpp
- fast 1d and 2d local minima detector
newton2
- nonlinear optimization code can find local or global minima