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Information granulation method of svm to prediction of gas concentration

2012-10-25 05:18    By:yangxiaofan6      View:7      Download:0

Provide a forecast of new ideas, this method to prediction of gas concentration can be dynamically cycle, there are two: one is not normalized, a method is normalized...

Matlab Matlab

svm based on fuzzy information granulation process

2014-11-19 19:41    By:nini      View:10      Download:0

Programs are both normalized and non-normalized, dynamic real-time forecast can be made....

Matlab Matlab

HOG + svm based face recognition codes (c + +)

2014-11-20 03:34    By:wxt_fira      View:43      Download:1

Face recognition, is based on the person's facial features for a biometric identity recognition technology. With a video camera or webcam capture facial images or video streams, and automatically detecting and tracking human faces in an image, then to detected faces in the face of a series of relate...

Image Processing C++

radar signals analysis and processing using matlab

17 hours ago    By:lixiaoyu702      View:220      Download:1

radar signals analysis and processing using matlab. this is the matlab codes for the book of radar signals analysis and processing using matlab...

Matlab Matlab

3. Analog-to-Digital conversions using Vcc as a voltage reference

12 hours ago    By:kapok      View:576      Download:0

Ultimately, my goal with this chip is to sample some voltages and then relay that information to a computer (via the UART, which we now have running) and an LCD display. Now that the chip can talk to a computer we can start experimenting with the analog-to-digital converter. For experim...

CSharp C

LTE 3GPP channel modeling using matlab

2014-11-20 13:47    By:wwbb      View:102      Download:0

LTE 3GPP channel modeling using matlab. Generates the correlated tap coefficients of the MIMO tapped delay line % model to be used during one iteration of the main loop. The function % performs a double interpolation, first in the fading vector domain, % to collect the fading samples corres...

Communication Matlab

svm technique and its application in fault detection of indicator diagram

2013-12-11 21:01    By:wangmaofa      View:4      Download:0

Use C++ code to write, well implemented one-class classification of indicator diagram, writing software has been based on business. Have some practical significance! Algorithm described in some detail, there is a certain Guide!...

Algorithm C++

TEXT classification using BAYES

2014-11-19 21:29    By:fuggy      View:16      Download:0

Naive Bayes classification is based on estimating P(X|Y), the probability or probability density of features X given class Y. The Naive Bayes classification object provides support for normal (Gaussian), kernel, multinomial, and multivariate multinomial distributions...

GUI C++

eeg classification

2014-11-19 17:27    By:cudass      View:16      Download:0

Application_and_Study_of_Matlab_on_Time-frequency_Analysis_of_Signal...

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SLAM using matlab for mobile robot

17 hours ago    By:redfires      View:86      Download:2

MATLAB toolbox professor Salvi third party SLAM provides: Matlab Toolbox of Kalman Filtering applied to Simultaneous Localization and Mapping Vehicle moving in 1D, 2D and 3D...

Image Processing Matlab

PCA Based Face Recognition System using ORL Database

12 hours ago    By:wangxiaolong0312      View:128      Download:1

This package implements a well-known PCA-based face recognition method, which is called 'Eigenface'. The program is easy to use. Furthermore, a sample Project file 'ProjectPCA.m' is added that demonstrate how to use, ORL training and test database is also included to show Performance comparison for...

Matlab Matlab

two-wheels balancing robot controller using LQR method

2013-12-20 07:02    By:liqianshu      View:55      Download:1

LQR control method to achieve the balancing robot balancing effect analysis of Q-value to determine   best contribute to the k-value. Requires three angle control for balancing robot, robot body angle, wheel forward, horizontally transmitted and control end through the three corners to achieve...

Matlab Matlab

MATLAB Support Vector Machine Toolbox

2014-11-20 09:18    By:xuezhisd      View:27      Download:0

This is the implementation of the Sequential Minimal Optimization (SMO) training algorithm for Vapnik's Support Vector Machine (svm). This is a modified code from Gavin Cawley's MATLAB Support Vector Machine Toolbox...

Matlab Matlab

Face recognition + PCA + svm

17 hours ago    By:Alaa       View:19      Download:1

A novel approach for solving face recognition problem. Our method combines 2D Principal Component Analysis  (2DPCA), one of the prominent methods for extracting feature vectors, and Support Vector Machine (svm), the  most powerful discriminative method for classi...

Matlab Matlab

svm Training Phase Reduction using Dataset feature filtering for malware detection

2014-11-20 02:43    By:swathi      View:19      Download:0

N-gram analysis is an approach that investigates the structure of a program using bytes, characters, or text strings. A key issue with N-gram analysis is feature selection amidst the explosion of features that occurs when N is increased. The experiments within this paper represent progra...

book PDF

Support Vector Machine without using matlab functions

2014-11-20 02:38    By:Aishu      View:38      Download:3

Support Vector Machine without using matlab functions such as svm train and svm classify... it helps the understand what really happens to the inputs when given to such functions......

Matlab Matlab

using support vector machines and neural networks for automatic license plate recognition

2014-11-20 09:32    By:zkyzhh      View:14      Download:0

using support vector machines and neural networks for automatic vehicle identification is Spain heretofore, filmed at a distance of 2-3 meters to identify efficiencies of above 90%...

Image Processing C++

Knn (nearest neighbor classification)

2014-11-20 11:39    By:cyychenyijie      View:43      Download:0

Basic (7/10) ◦ 1) Develop a k-NN classifier with Euclidean distance and simple voting ◦ 2) Perform 5-fold cross validation, find out which k performs the best (in terms of accuracy) ◦ 3) Use PCA to reduce the dimensionality to 6, then perform 2) again. Does PCA improve the accuracy? ...

数据分析 C
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