搜索资源列表
nn
- 常见神经网络的算法大全，包括RBF、线性感知器、自组织网络等-Common neural network algorithm Daquan, including RBF, linear sensor, self-organizing networks
Artificial-Neural-Networks2006
- 神经网络概述及基本模型，然后详述了各种模型，包括感知器神经模型、自组织竞争神经网络、径向基函数神经网络、反馈神经网络、支持向量机神经网络、遗传算法等内容。-Overview and basic neural network model, and then details the various models, including perceptron neural model, self-organizing competitive neural network, radial basis fu
neural-network
- 神经网络相关ppt，主要包括BP算法和感知器优化算法相关介绍-Neural network-related ppt, including BP algorithm and optimization algorithm related presentations perceptron
BP_final
- 多层感知器MLP网络以及BP算法，实现了对非线性函数的逼近，matlab进行编程-failed to translate
667777777766
- 模式识别的作业源代码，包括了c均值算法（Cmeans）和自主值迭代算法（ISODATA），以及W-H固定增量算法和感知器（基于MFC实现）。-Operating source code for pattern recognition, including c-means algorithm (Cmeans) and self-value iteration algorithm (on ISODATA), and WH fixed incremental algorithm and the sen
ganzhiqi_g7
- 基于感知器的iris数据集分类算法，matlab实现，有注释。-Classification algorithm based on the iris data set of the perceptron, the Matlab implementation, and comment.
svm-ses
- 分别采用感知机算法、最小平方误差算法、线性SVM算法设计分类器，分别画出决策面，并比较性能。-The machine algorithm respectively perception, the minimum square error algorithm, linear SVM classifier algorithm design, respectively, draw the decision surface, and compare the performance.
Linear-classifier-design
- 对“data1.m”数据，分别采用感知机算法、最小平方误差算法、线性SVM算法设计分类器，分别画出决策面，并比较性能。-The "data1.m" data, respectively, using the perceptron algorithm, the least square error algorithm, the linear SVM algorithm design classifier, respectively, to draw the decision-making surf
ganzhiqi
- 线性分类器感知器设计算法程序，其中利用了低度下降算法-Linear classifier perceptron design algorithm procedures, which use low-degree descent algorithm
FIG002
- Rosenblatt感知机Matlab实现算法线性分类器的第一个迭代算法是1956年由Frank Rosenblatt提出的. 这个算法被提出后, 受到了很大的关注. 感知器在神经网络发展的历史上占据着特殊的位置: 它是第一个从算法上完整描述的神经网络. 在20世纪60年代和70年代, 受感知器的启发, 工程师, 物理学家以及数学家们纷纷投身于神经网络不同方面的研究. -Rosenblatt perceptron Matlab algorithm linear classifier, an
Number-odd-or-even
- 采用人工神经网络单层感知器学习算法，实现数字0-9的奇偶识别-The single-layer perceptron of artificial neural network learning algorithm, to achieve parity identification numbers 0-9
target-context-detect-recognition
- 在分类器的研究方面，提出了一种改进的AdaBoost算法，包括距离相关的判别准则，和基于核的感知器强分类器优化方法 -Classifier, there is proposed an improved AdaBoost algorithm, including the distance related criterion optimization method, and the strong classifier is based on the perception of the nucle
Improved-ICA-character-recognition
- 该算法一种结合改进的基于独立分量分析（ICA）提取算法和基于多层感知器和单向二叉决策树的多类支持向量机分类方法。-The algorithm is a combination of improved based on independent component analysis (ICA) algorithm and multi-class support vector machine classification method based on binary decision tree of
moshishibie
- C# 模式识别作业 最大最小距离算法（可以实现鼠标收入） 感知器-C# pattern recognition operating the largest minimum distance the algorithm (mouse income) sensor
code
- 三道题，包括1：用多层感知器（MLP）神经网络误差反向传播（BP）算法实现异或问题:2：用奇阶互补法设计两带滤波器组(高、低通互补)，进而实现四带滤波器组 3：估计其功率谱-Three questions, including: 1 using multilayer perceptron ( MLP ) neural network and error back propagation ( BP ) algorithm to realize the XOR problem: 2: the odd
ANN_bp
- 用于训练多层感知器的神经网络BP算法C++源程序，有较为详细的注释。-For the training of Multilayer Perceptron Neural Network the BP algorithm C++ source, more detailed notes.
12
- 关于人工神经网络中感知器的matlab算法-The matlab algorithm is on artificial neural network sensor
ZIP-
- 感知器网络学习很好很强大elta学习算法为单层感知器网络学习算法，Roseblatt的推导证明，如果-Perceptron learning
1
- 神经网络感知器 C语言实现 神经网络算法基础-Perceptron neural network C language-based neural network algorithm
li1
- 请用多层感知器（MLP）神经网络误差反向传播（BP）算法实现异或问题（输入为，要求可以判别输出为0或1），并画出学习曲线。其中，非线性函数采用S型Logistic函数。-Please use the Multilayer Perceptron (MLP) back propagation neural network (BP) algorithm XOR problem (input is required to determine the output is 0 or 1), and draw