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NNcontrol_0
- Name:neural Network Control, for Matlab,tipical descr iption for control problems with NN method, additionally, there are some useful examples to be referenced.-Name : neural Network Control, for Matlab, tipical descr iption for problems with control
rbfnetwork.m
- use in the matlab NN network RBF network-use in the NN network Matlab RBF network
wavePredict
- 随着新的数学工具小波分析的实用化为基于NN负荷预测模型性能的改善提供了理论依据对于电力系统负荷非线性时间序列的辨识在预测方法研究中应给予重视在本文所用的基于小波原理和NN融合的预测原理是具有强的非线性时间序列的辩能力由研究和仿真表明它能有效提高预测的精度-with new mathematical tools wavelet analysis based on NN into practical load forecasting model to improve the performance
NN
- 讲述了神经网络的原理和一些应用。对于了解神经网络的知识，是很不错的读物！赶紧看看那！
NN
- 神经网络的一个习题，老师给的，给大家参考参考-Exercises of a neural network, the teachers give to your information
present-1
- image fusion by jamal.saeedi
Behrouz_SSPR04_final
- K-NN algorithm in collaboration with GA research paper
PSO_base_RBF
- PSO的RBFNN优化程序 算法步骤 1.样本数据归一化处理，即将输入输出归一化到[-1,1]区间； 2.确定RBF网络的中心和宽度； 3.以拟合误差的均方根作为性能指标，使用PSO算法优化RBF网络输出层到隐层的连接权值矩阵-PSO-RBFNN algorithm optimization procedures Step 1. Sample data normalization treatment, about input and output normalized to [-
nn-ocr
- example matlab code for character recognition-example matlab code for character recognition
NN-LogisticRegression
- Neural Network Logistic regression
APMMC_surendiran
- ADA and NN based Mammogram Mass Classification using various geometric shape features Surendiran.B, A.Vadivel National Conference on Advanced Pattern Mining and Multimedia Computing, APMMC10, Department of Computer Applications, National Insti
NN.Adaline
- Adaline neural network presentation
2
- 1.请编写一个函数void fun(char *tt,int pp[]),统计在tt字符中"a"到"z"26各字母各自出现的次数，并依次放在pp所指的数组中。 2.下列程序定义了n×n的二维数组，并在主函数中赋值。请编写函数fun,函数的功能使求出数组周边元素的平均值并作为函数值返回给主函数中的s。-1. Please write a function void fun (char* tt, int pp []), statistics tt characters " a&qu
AGA
- AGA和NN在汽轮发电机组故障诊断的设计AGA and NN in Fault Diagnosis of Steam Turbine-AGA and NN in Fault Diagnosis of Steam Turbine
Monocular-Pedestrian-Detection-__-survey-and-expe
- The objective of this paper is to provide an overview of the current state of the art from both methodologicaland experimental perspectives. The first part of the paper consists of a survey. We cover the main components of a pedestrian detection syst
forescast-ex-rate-with-nn
- forescast ex rate with -forescast ex rate with nn
NN
- 使用MATLAB来进行神经网络NN训练数据-Use MATLAB to neural networks NN training data
Speech-Recognition-using-NN
- speech recognition / matlab / -speech recognition / matlab / nn
heb-nn-(2)
- matlab code for heb -matlab code for heb nn
Qualcomm Docs 80-NN
- Qualcomm Docs 80-NN***