搜索资源列表
c02004
- Artificial neural network for linear system
30-important-model
- 30个重要模型其中包含了线性规划、神经网络、灰色模型-30 important model which includes linear programming, neural network, gray model ... etc.
matlab
- matlab 通用神经网络代码 学习了一段时间的神经网络,总结了一些经验,在这愿意和大家分享一下,希望对大家有帮助,也希望大家可以把其他神经网络的通用代码在这一起分享感应器神经网络、线性网络、BP神经网络、径向基函数网络-MATLAB general neural network code learning neural network for some time, summed up some experience in this and we are willing to share,
TOAAOA
- 为了减小NLOS 传播的影响，基于几何结构的单次反射统计信道模型，该文提出一种NLOS 环境下的TOA/AOA 定位算法。利用RBF 神经网络较快的学习特性和逼近任意非线性映射的能力，对NLOS 传播的误差进行修正以减小NLOS 传播的影响，再利用最小二乘(LS)算法进行定位，从而提高系统的定位精度。-In order to mitigate the effect of NLOS propagation, based on the Geometry Based Single- Bounced
erweifeixianxing
- 在程序设计和调试过程中①只要在程序中增加类似m或n的循环语句，便可用神经网对三维或三维以上的非线形函数训练，也可以用在复杂系统二个以上独立变量、任意维非线性动态参数的辨识-In program design and debugging process ① similar increase in the program as long as m or n of the loop, you can use the neural network over a three-dimensional or
Neural-Network-using-a-Generalized-Linear-Model.z
- Neural Network using a Generalized Linear Model
project
- design and simulation of Neural Networks for linear and nonlinear system
High-speed-train-simulation
- 为了设计出智能的列车悬挂系统提出了基于神经网络的自适应模糊控制 模糊控制主要是针对系统的非线性神经网络控制是产生模糊控制的控制规则。最后通话matlab仿真，得出可行性。-In order to design intelligent train suspension system is proposed based on adaptive neural network fuzzy control fuzzy control is mainly for non-linear neural netw
Neural-expert-and-neuro-fuzzy_11
- Non linear algorithm: neuro-fuzzy
BP-neural-network-MATLAB-code
- 主要是BP神经网络的MATLAB实现程序代码，包括感应器神经网络、线性网络、BP神经网络、径向基函数网络。-Mainly MATLAB BP neural network to achieve the program code, including sensors neural networks, linear network, BP neural network, radial basis function networks
SVMTutorial
- In this tutorial we present a brief introduction to SVM, and we discuss about SVM published papers, workshop materials & material collected books and material available online on the World Wide Web. In the beginning we try to define SVM and try to ta
Linear-Filters--
- a sample of liner filter in neural network
melppaper6
- 为了提高深度模型的编码重构性能,本文为传统对比散度(Contrastive divergence,CD)添加了基于交叉熵的重构误差约束。利用改进后的算法训练了重构性深度自编码机(Reconstructive deep au-to-encoder,RDAE),并用 RDAE 替换混合激励线性预测编码(Mixed excitation linear prediction, MELP)语音编码器中 LSF 参数的矢量量化方法。测试结果表明,改进后的算法在损失一定模型似然度的条件下获得了重构性能的提升,
Study-on-a-novel-approach-to-active-power-filter.
- This paper proposes an effective control scheme for three-phase three-wire (3P3W) active power filter using neural-based harmonic identification scheme. To achieve excellent steady state and dynamic response, the feedback control plus feed-fo
1991
- 1991年的N. Benu to, M. Marchesi发表的 NON LINEAR SATELLITE RADIO LINKS equalized using blind neural networks。原文时间较早排版不清，进行了重新排版和翻译，便于阅读。该文献是这类问题的鼻祖，很经典-NON LINEAR SATELLITE RADIO LINKS equalized using blind neural networks
主流的人脸识别技术
- 主流的人脸识别技术基本上可以归结为三类，即：基于几何特征的方法、基于模板的方法和基于模型的方法。 1. 基于几何特征的方法是最早、最传统的方法，通常需要和其他算法结合才能有比较好的效果； 2. 基于模板的方法可以分为基于相关匹配的方法、特征脸方法、线性判别分析方法、奇异值分解方法、神经网络方法、动态连接匹配方法等。 3. 基于模型的方法则有基于隐马尔柯夫模型，主动形状模型和主动外观模型的方法等。(The mainstream face recognition technology can