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demoneu4
- Neural networks sample . delphi 4 source.. Sare your same files.
networks
- 人工神经网络导论，很好的一本书啊 有很详细的编程步骤说明-Introduction to artificial neural networks, a good book ah
cdma
- Its the project report for CDMA PN code acquisition using Neural Networks.
SVMNR
- 支持向量机和BP神经网络虽然都可以用来做非线性回归，但它们所基于的理论基础不同，回归的机理也不相同。支持向量机基于结构风险最小化理论，普遍认为其泛化能力要比神经网络的强。为了验证这种观点，本文编写了支持向量机非线性回归的通用Matlab程序和基于神经网络工具箱的BP神经网络仿真模块，仿真结果证实，支持向量机做非线性回归不仅泛化能力强于BP网络，而且能避免神经网络的固有缺陷——训练结果不稳定。 -Support Vector Machine and BP neural network, ev
Neural-Networks-at-your-Fingertips
- 详细说明：几个神经网络算法的例程，包括前向adaline, 共振art1, boltzman机, hopfield 网络, 自组织som 等等.-Detailed Descr iption: The number of neural network algorithm routines, including the former to the adaline, resonance art1, boltzman machine, hopfield networks, self-organizing
phase-basedTNN2002
- 基于相位的光流估计，Trans NN 2002的文章-Gautama, T. and Van Hulle, M.M. (2002). A Phase-based Approach to the Estimation of the Optical Flow Field Using Spatial Filtering, IEEE Trans. Neural Networks, 13(5), 1127--1136
asdf
- 本文提出一种粗糙集理论和动态前馈神经网络相结合的神经网络构造方法。充分发挥了粗糙集理论和神经网络的优势，弥补了各自的缺点。并应用于实际工业过程，在乙烯装置裂解炉燃料气热值控制中取得了良好的应用效果。-This paper presents a rough set theory and dynamic feedforward neural networks combined neural network constructed. Give full play to the rough set th
datamining
- 介绍了数据挖掘的各种方法（如支持向量机，神经网络，遗传算法）在地震预测中的应用-Introduced a variety of data mining methods (such as support vector machines, neural networks, genetic algorithms) in the earthquake prediction
FPGA.Implementations.of.Neural.Networks
- 神经网络的FPGA实现参考，ANN的实时硬件计算越来越受到重视。-Neural network FPGA implementation reference, ANN real-time hardware computing draws more and more attention.
BP
- 不使用matlab神经网络工具箱用bp网络实现函数逼近。利于了解bp网络的原理-Do not use matlab neural network toolbox with bp networks function approximation. Help to understand the principle of the network bp
Alpha_Beta
- 基于VC++的神经网络剪枝算法程序；“剪枝算法”是一种通过简化神经网络结构来避免网络过拟合的有效方法之一。内附程序说明文档，介绍了该算法的主要原理，运行结果说明以及程序流程图。是很好的学习资料-VC++ based on neural network pruning algorithm program " pruning algorithm" is a kind of neural networks by simplifying the network architectur
cnn
- matlab的自适应神经网络CNN的实现-adaptive neural network matlab implementation of CNN
ff
- 析了变速恒频双馈风力发电系统的工作原理。结合风力机特性和双馈发电机特性，说明了变速恒频运行方式下的最优风能捕获策略，并介绍了风力发电系统的滑模变结构控制、自适应控制、鲁棒控制和人工神经网络控制。总结了变速恒频风力发电系统的发展趋势。-Analysis of a Variable Speed Constant Frequency Wind Power Generation System works. Combination of wind turbine characteristics and t
p1
- hallenge to the use of supervised neural networks in data mining applications is to get explicit knowledge from these models. For this purpose, a clustering genetic algorithm for rule extraction from artiÞ cial neural networks is developed. T
CarPlateRecognition
- 利用神经网络进行车牌识别，图像先进行二值化，通过多次学习从而建立满足一定要求的识别网络。-License Plate Recognition using neural networks, the binary image before, through multiple learning to recognize the establishment of the network meet certain requirements.
s3a_pin
- Matlab has a suite of programs designed to build neural networks Additionally, there are demonstrations available through class).
ACNproj
- Object tracking using Radial Basis Function Networks(Neural networks). The implementation is done in OpenCV.
Zilkova_Timko_Girovsky_8
- Nonlinear System Control Using Neural Networks
RBF
- RBF神经网络用于分类与回归，提供了一个学习神经网络的平台，对大家有很大帮助。-RBF neural network for classification and regression, neural networks provide a learning platform for all of us much help.
5348160
- Application of Neural Networks in Wind Power (Generation) Prediction