搜索资源列表
BP-PSO
- 本文提出了基于粒子群算法( PSO )的E lm an神经网络混合优化策略, 采用PSO 优化 连接权值来训练神经网络, 与标准BP算法相比, PSO 采用实数编码, 结构简单, 学习收敛快-The PSO-BP-based Forecast of Logistics Cost for Coal Enterprises
lmnnetwork
- lm神经网络工具箱包含了神经网络算法的 一些优化改进-lm neural network toolbox contains some of the optimization of neural network algorithm improvements
LMtest
- LM优化算法是我们在进行系统优化和调度时最常用的优化算法之一,此处给一个此算法的C实现-LM optimization algorithm
voicechoose
- 基于labview简单的语音识别,基于一些算法,比较复杂,比如说LM-Based on the the labview simple voice recognition based algorithm is more complex, for example, LMCC
OpencvProject
- 目前网上用MSER做图像配准的代码资料较少,特上传此代码做学习交流。欢迎业内同仁共同讨论研究,本代码采用opencv自带的mser特征提取方法,并对该特征进行sift椭圆表达,在配准时使用ransac算法进行提纯。因为时间有限,未考虑LM光束法平差约束,日后进行添加。-MSER
ga_lm_bp
- 4-9-1的结构ga-lm的bp算法 有示例数值 不是拟合而是预测-4-9-1 structure of ga-lm bp algorithm is not fit but there are examples of numerical prediction
LMnihe
- LM拟合算法,用于激光雷达回波处理,效果显著-LM Fitting algorithm for Lidar
Levenberg-Marquardt
- L-M算法的简单介绍及部分matlab程序-Brief LM algorithm and some matlab procedures
BP_LM
- 采用贝叶斯正则化算法提高 BP 网络的推广能力。在本例中,我们采用两种训练方法,即 L-M 优化算法(trainlm)和贝叶斯正 -Bayesian regularization algorithm to improve the generalization ability of BP network. In this example, we use two training methods, namely LM optimization algorithm (trainlm) and Baye
dimen_toolbox
- 最新最强MATLAB降维工具箱,可用于人脸识别,模式识别,机器学习,数据挖掘,图像处理等领域,里面包含的算法有PCA,LDA,KPCA,KLDA,Laplacian,LPP,MDS,NPE,SPE,LLC,CFA,MCML,LM-The latest and greatest dimension reduction MATLAB toolbox can be used for face recognition, pattern recognition, machine learning, dat
ANN_test
- 实现三层神经网络,其中基于了基本的BP神经网络算法,同时也实现了LM训练算法,加速训练的收敛时间-Achieve three-layer neural network, which based on the basic BP neural network algorithm, but also to achieve the LM training algorithm to accelerate the convergence of training time
Levenberg_Marquardt
- 非线性最小二乘法Levenberg_Marquardt算法应用于数据匹配的实例,LM法进行数据匹配-Nonlinear least squares algorithm is applied to the data to match Levenberg_Marquardt instance, LM method for data matching
BPMS
- 此程序是关于LM-BP算法的预测系统,能够利用图形界面的形式展示出预测的精度和误差- This program is on the LM-BP algorithm prediction system that can use a graphical interface to show the form of prediction accuracy and error
BP-neural-network
- BP神经网络(L-M算法) 对前向网络初始化 采用改进BP算法训练前向网络 对前向网络仿真-BP neural network (LM algorithm) to initialize the network prior to using simulation to improve before the network before the network BP algorithm training
LMBPNN
- 利用LM训练算法来改善BP神经网络的梯度下降法的训练算法。-Using LM training algorithm to improve BP neural network training algorithms gradient descent.
SURF-based-image-stitching
- SURF算法作为一种新近出现的特征提取方法,在重复度、独特性、鲁棒性3个方面,均超越或接近以往提出的同类方法,并在计算效率上具有明显的优势。本代码采用SURF算法检测图像并进行坐标变换与图像拼接。 采用SURF算法对图像进行检测,其主要是用Hessian矩阵对图像进行检测,对图像的特征提取之后找到图像的特征点。之后采用最近临快速匹配(NN)、随机抽样一致性(RANSAC)算法和最小二乘法参数优化(LM)对特征点进行提纯匹配。最后在两幅图像中进行坐标变换,达到统一坐标系和图像拼接的效果。
shenjingwangluo
- 可自由选择贝叶斯正则化算法或者是L-M 优化算法的神经网络matlab代码-The freedom to choose the Bayesian regularization algorithm or LM optimization algorithm neural network matlab code
Levenberg-Marquardt-Method
- Levenberg–Marquardt Method,LM拟合优化算法的Matlab平台.m文件的实现-Levenberg–Marquardt Method. The inplementation of matlab.m
mat-dlf
- 空气质量降维B-P神经网络评价法及其MATLAB实现 简介: 用主成分分析将多维空间的样本数据降维到低维空间,将其作为BP网络的输入。BP网络的算法采用LM优化法。描述了该网络的MATLAB程序语言实现过程。-Air quality dimension reduction BP neural network uation method on MATLAB Introduction: Using principal component analysis will drop the sa
GMM
- 使用Matlab编程实现GMM算法,不调用已有函数库,对大量点进行分类-LM algorithm using Matlab programming, do not call the existing library, a large number of points to classify