搜索资源列表
anfis
- Simulation for neural networks in matlab
Fault-Detection-and-Isolation-in-Robotic-Manipula
- In this work, Artificial Neural Networks are employed in a Fault Detection and Isolation scheme for robotic manipulators. Two networks are utilized: a Multilayer Perceptron is employed to reproduce the manipulator dynamical behavior, generating a res
NeuronNetworkHomework
- neural networks document for techniquement.
SimpleNN
- Neural networks application matlab
gailv
- 概率动态认知图，神经网络，人工智能图像处理-Probability of dynamic cognitive maps, neural networks, artificial intelligence, image processing
fulltext
- implementation of back propagation neural networks with matlab
Speech-Recognition-using-NN-Using-WEKA-Tool
- This good paper on speech recognition using neural networks with WEKA tool-This is good paper on speech recognition using neural networks with WEKA tool
Paper230
- Adaptive Radio Resource Management for GSM using Neural Networks and Genetic Algorithms Ken Murray and Dirk Pesch Adaptive Wireless Systems Group
routing-using-nn-nov-2012
- The neural networks are widely used to solve the routing problem and to manage the congestion in the computer networks. In this paper, two methods are proposed to solve this problem. In the first method a feed forward neural network is includ
Training
- 容积卡尔曼滤波在神经网络中的应用，一篇很好的英文文献，值得参考-Nonlinear Bayesian Filters for Training Recurrent Neural Networks
kg_SVD
- 有關於奇異值分解在特徵提取上的應用的簡介-The SVM Neural Networks data classification to predict the contents of the first part of a chapter
sarkar-rpt
- Optical Character Recognition using Neural Networks
nn1
- neural networks algorithm
Adaptive-NN
- 介绍了直升机垂直飞行时应用自适应神经网络对其进行控制-Application of adaptive neural networks to control helicopter vertical flight
FECG-Extraction
- 胎儿心电信号提取，用贝叶斯方法，和神经网络接近。很详细！-FECG Extraction Using Bayesian Inference and Neural Networks Approximation
00955565
- Direct Torque Control of Three-level Inverter Using Neural Networks as Switching Vector Selector
A-hybrid
- 针对传统的ＢＰ或ＧＡ对模糊神经网络的识别应用存在收敛容易陷入局部极小 识别率低下等问题 提出一 种基于ＢＦＧＳ的混合遗传算法 其基本思想为 首先构造一种前馈型模糊神经网络结构 然后用遗传算法进化若干代 后 当目标函数的梯度或者范数小于预先设定值 则改用ＢＦＧＳ算法进行优化识别 仿真实验表明 对比ＧＡ该算法 收敛速度较快 识别精度提高了约７％ 能够较好地应用于一类模糊神经网络的识别-In traditional BP or GA to identify the application
3_1_1
- Genetic Algorithms for Optimal Reactive Power Compensation of a Power System with Wind Generators based on Artificial Neural Networks
Kalman-filtering-algorithm
- 卡尔曼滤波简介及其算法实现代码,近来发现有些问题很多人都很感兴趣。所以在这里希望能尽自己能力跟大家讨论一些力所能及的算法。现在先讨论一下卡尔曼滤波器，如果时间和能力允许，我还希望能够写写其他的算法，例如遗传算法，傅立叶变换，数字滤波，神经网络，图像处理等等。-The Kalman filtering Us algorithm code, recently found that some of the problems a lot of people are very interested. So
Use-of-Radial-Basis-Function-Type-Artificial-Neur
- Use of Radial Basis Function Type Artificial Neural Networks for Runoff Simulation