Location:
Search - Quantum wavelet
Search list
Description: 在网络异常检测中,为了提高对异常状态的检测率，降低对正常状态的误判率,本文提出一种基于量子粒子群优化算法训练小波神经网络进行网络异常检测的新方法。利用量子粒子群优化算法(QPSO)训练小波神经网络,将小波神经网络(WNN)中的参数组合作为优化算法中的一个粒子,在全局空间中搜索具有最优适应值的参数向量。- In order to improve the detection rate for anomaly state and reduce the false positive rate for normal state in the network anomaly detection, a novel method of network anomaly detection based on constructing wavelet neural network (WNN) using quantum-behaved particle swarm optimization (QPSO) algorithm was proposed. The WNN was trained by QPSO.
Platform: |
Size: 1024 |
Author: liang |
Hits:
Description: 心电信号在线数据知识化辅助诊断算法研究
摘 要:针对心电监护与诊断过程中数据量大、准确性和快速性要求高的特点,提出了一套基于数据知识化的心电
辅助诊断算法.该套算法包括数据识别、冗余处理、转换和提取过程,利用小波变换的多分辨率和抗干扰能力好的
特点,检测QRS波、P波、T波,提高了特征检测的准确性 利用聚类分析具有较好的鲁棒性和适合于大数据量分析
的特点,对QRS进行波形分类 算法结合了单独一搏诊断和串诊断以及多参数综合分析.采用MIT-BIH标准心电
数据库中的部分数据和心电专家确诊的心律失常数据文件对该算法进行了评估,检出率都在95 以上,表明该套
算法对部分心律失常可以进行有效分析.
-A series of data knowledge discovery based electrocardiograph (ECG) auxiliary diagnosis algo-
rithms were presented against the characteristics of huge data quantum, high accuracy and rapidity de-
mands in the ECG monitor and diagnosis process. The algorithm consists of several stages, including data
distinguishing, data redundant processing, data conversion and data extraction. The characteristics of
wavelet transform, multiresolution and high anti-interference, were used to detect QRS, P and T waves
and improve the accuracy of character detection. Clustering analysis characterized by better robustness and
capability to analyze huge data quantum was used to classify QRS wave. The algorithm combines diagnosis
based on one beat, string diagnosis and comprehensive analysis with multiparameters. Verified by partial
data of MIT-BIH standard ECG database and arrhythmia data files diagnosed by ECG experts, the detect-
ability exceeded 95 , which showed that the algorithm could analy
Platform: |
Size: 68608 |
Author: Shi |
Hits:
Description: an introduction to wavelets
-Wavelets are mathematical functions that cut up data into di® erent frequency components,
and then study each component with a resolution matched to its scale. They have advantages
over traditional Fourier methods in analyzing physical situations where the signal contains
discontinuities and sharp spikes. Wavelets were developed independently in the ¯ elds of mathematics,
quantum physics, electrical engineering, and seismic geology. Interchanges between these ¯ elds
during the last ten years have led to many new wavelet applications such as image compression,
turbulence, human vision, radar, and earthquake prediction. This paper introduces wavelets to the
interested technical person outside of the digital signal processing ¯ eld. I describe the history of
wavelets beginning with Fourier, compare wavelet transforms with Fourier transforms, state properties
and other special aspects of wavelets, and ¯ nish with some interesting applications such as
image comp
Platform: |
Size: 345088 |
Author: same |
Hits:
Description: 小波变换是在傅立叶变换的基础上发展起来的，它优于傅立叶分析的地方是它在空域和时域都是局部化的，其局部化格式随频率自动变换，在高频处取窄的时（空）间窗，在低频处取宽的时（空）窗，适合处理非平稳信号，在图像处理、模式识别、机器人视觉、量子力学等领域得到广泛应用。-Wavelet transform is a Fourier transform developed on the basis, it is better than Fourier analysis of the place is that it is in the spatial and temporal localization, and its local format with the frequency of automatic conversion, and narrow at high frequencies when taken (empty) room window, taking in the low frequency when the width of the (empty) window, suitable for handling non-stationary signal, the image processing, pattern recognition, robot vision, the field of quantum mechanics has been widely used.
Platform: |
Size: 5537792 |
Author: 杨洋 |
Hits:
Description: 应用matlab语言编写的应用于地震资料数字处理中的地震子波提取方法，基于模拟退火的高阶累积量子波提取方法-Applications written in matlab digital processing of seismic data used in the seismic wavelet extraction method, based on simulated annealing method for high order quantum wavelet extraction
Platform: |
Size: 4096 |
Author: 李浩 |
Hits:
Description: this a good paper about quantum wavelet neural network-this is a good paper about quantum wavelet neural network
Platform: |
Size: 205824 |
Author: aliakbar |
Hits:
Description: 在网络异常检测中,为了提高对异常状态的检测率，降低对正常状态的误判率,本文提出一种基于量子粒子群优化算法训练小波神经网络进行网络异常检测的新方法。利用用量子粒子群优化算法(QPSO)训练小波神经网络,将小波神经网络(WNN)中的参数组合作为优化算法中的一个粒子,在全局空间中搜索具有最优适应值的参数向量。
-This paper presents a new method of network anomaly detection based on quantum particle swarm optimization algorithm to train the wavelet neural network in order to improve the rate of detection of the abnormal state and reduce the false positive rate for normal state in the network anomaly detection. Quantum particle swarm optimization algorithm (QPSO) training wavelet neural network, the combination of parameters of the wavelet neural network (WNN) as a particle optimization algorithm search parameter vector with the best fitness value in the global space.
Platform: |
Size: 1024 |
Author: zhou |
Hits:
Description: 小波分析理论与MATLAB小波分析的应用领网域十分广泛，它包括：数学领网域的许多学科；信号分析、影像处理；量子力学、理论物理；军事电子对抗与武器的智能化；电脑分类与识别；音乐与语言的人工合成；医学成像与诊断-MATLAB wavelet analysis theory and application of wavelet analysis collar domain is very extensive, it includes: Mathematics collar domain many disciplines signal analysis, image processing quantum mechanics, theoretical physics military weapons, electronic warfare and intelligence computer classification and identification synthetic music and language medical imaging and diagnostics
Platform: |
Size: 263168 |
Author: 王桂莲 |
Hits:
Description: 小波分析的应用领域十分广泛，它包括：数学领域的许多学科；信号分析、图像处理；量子力学、理论物理；军事电子对抗与武器的智能化-Application of wavelet analysis is very extensive, including: many disciplines of mathematics fields signal analysis, image processing military intelligence and electronic warfare weapons quantum mechanics, theoretical physics
Platform: |
Size: 8192 |
Author: 风雨无阻 |
Hits:
Description: use the code it is very useful
Platform: |
Size: 994304 |
Author: krati
|
Hits: