Description: som-bp混合神经网络的matlab程序，这个网络结构设计得很好，用于肝脏肿瘤图像识别。-som-bp hybrid neural network matlab program, the network architecture are designed to be very good for the liver tumor image recognition. Platform: |
Size: 373760 |
Author:zhongling |
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Description: 遗传算法和神经网络混合编程，可用于优化计算，仅供参考-Genetic algorithm and neural network hybrid programming, can be used to optimize the calculation, for reference only Platform: |
Size: 4096 |
Author:蒋立勇 |
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Description: 基于改进的隐马尔可夫和神经网络混合模型的语音识别-Based on an improved Hidden Markov and neural network hybrid model of voice recognition Platform: |
Size: 302080 |
Author:张大鹏 |
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Description: 应用协同微粒群算法对一个4-6-1形式的神经网络进行离线训练.-Application of Cooperative Particle Swarm Optimization for a 4-6-1 form of neural network off-line training. Platform: |
Size: 3072 |
Author:duyanli |
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Description: PCNN神经网络对混合噪声去噪算法描述。效果好到不可思议。可惜我暂时还没实现该算法。-The hybrid neural network PCNN noise denoising algorithm description. Good to incredible. Unfortunately, the moment I am not yet the realization of the algorithm. Platform: |
Size: 1517568 |
Author:闪烁的星云 |
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Description: 神经网络与pid混合控制源程序，可以很好的解决非线性控制问题-Neural network and hybrid control pid source can be a very good solution to nonlinear control problems Platform: |
Size: 1024 |
Author:李凯 |
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Description: 使用小波变换和神经网络的混合图像压缩，希望对大家有所帮助-Using wavelet transform and neural network hybrid image compression, I hope all of you to help Platform: |
Size: 1024 |
Author:Mr. Yang |
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Description: pdf for fingerprint from ieee include:
PIPELINED MINUTIAE EXTRACTION FROM FINGERPRINT IMAGES
A Novel Principal Component Analysis Neural Network Algorithm for Fingerprint Recognition
in Online Examination System
Processing of Distorted Fingerprints with use of Three-Rate
Hybrid Kohonen Neural Networks
nad etc Platform: |
Size: 21190656 |
Author:ali |
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Description: 基于PCNN的特征提取,PCNN用于特征提取时，具体平移、旋转、尺度、扭曲等不变性，这正是许多年来基于内容的图像检索系统追求的目标，同时PCNN用于特征提取时，有很好的抗噪性。而且PCNN直接来自于哺乳动物视觉皮层神经的研究，具有提取图像形状，纹理，边缘的属性。用PCNN能很好地对图像进行签名，将二维的图像的特征提取成一维矢量签名。-Feature extraction of specified object is an
important preprocessing stage in machine vision
systems. In this paper, we present a novel hybrid
feature extraction method using PCNN (Pulse Coupled
Neural Network) and shape information. First, we use
PCNN firing map train to formulate object’s time
signature, then we use roundness of each firing map to
formulate object’s shape information vector, the final
feature matrix we got is combined time signature and
roundness. We take correlations as our judge criteria
in our experiments. It has been proved that the
algorithm is not sensitivity with the rotation, scaling
and translation of the object and is a useful method for
target recognition applications. Platform: |
Size: 1024 |
Author:wangxiaofei |
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Description: 现代最优化算法（有170多页的PPT，2010年的）
分为三个部分
Part 1 概论
Part 2 模拟退火算法
Part 3 遗传算法
现在常用的优化算法
禁忌搜索算法
模拟退火算法
遗传算法
人工神经网络
蚁群算法
粒子群算法
混合算法-Modern optimization algorithm is divided into three parts Part 1 Part 2 Introduction Part 3 simulated annealing genetic algorithm optimization is now commonly used in tabu search algorithm simulated annealing genetic algorithm, artificial neural network hybrid particle swarm ant colony optimization algorithm Platform: |
Size: 4639744 |
Author:zhang |
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Description: 故障诊断的关键是寻找一种更有效的诊断方法，人工神经网络作为新兴的方法越来越受到人们的喜欢，本文是关于神经网络在混合智能故障诊断系统中的应用。-Fault diagnosis is the key to find a more effective diagnostic methods, artificial neural network as a new way to more and more people like it, this is about the neural network in hybrid intelligent fault diagnosis system. Platform: |
Size: 117760 |
Author: |
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Description: A hybrid least squares support vector
machines and GMDH approach for river
fl ow forecasting-This paper proposes a novel hybrid forecasting model, which combines the group
method of data handling (GMDH) and the least squares support vector machine
(LSSVM), known as GLSSVM. The GMDH is used to determine the useful input vari-
ables for LSSVM model and the LSSVM model which works as time series forecasting. 5
In this study the application of GLSSVM for monthly river fl ow forecasting of Selangor
and Bernam River are investigated. The results of the proposed GLSSVM approach
are compared with the conventional artifi cial neural network (ANN) models, Autoregres-
sive Integrated Moving Average (ARIMA) model, GMDH and LSSVM models using the
long term observations of monthly river fl ow discharge. The standard statistical, the 10
root mean square error (RMSE) and coe ffi cient of correlation (R) are employed to eval-
uate the performance of various models developed. Experiment result indicates that
the hybrid model was powerful tools to mo Platform: |
Size: 1467392 |
Author: |
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Description: 本书介绍了神经网络常用算法、优化算法及其混合编程实现-This book presents a commonly used neural network algorithms, optimization algorithm and its hybrid programming Platform: |
Size: 23363584 |
Author:萱珊 |
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Description: 针对传统的ＢＰ或ＧＡ对模糊神经网络的识别应用存在收敛容易陷入局部极小 识别率低下等问题 提出一
种基于ＢＦＧＳ的混合遗传算法 其基本思想为 首先构造一种前馈型模糊神经网络结构 然后用遗传算法进化若干代
后 当目标函数的梯度或者范数小于预先设定值 则改用ＢＦＧＳ算法进行优化识别 仿真实验表明 对比ＧＡ该算法
收敛速度较快 识别精度提高了约７％ 能够较好地应用于一类模糊神经网络的识别-In traditional BP or GA to identify the application of fuzzy neural network in convergence of easily falling into local minimum problem of low recognition rate is proposed
A hybrid genetic algorithm based on BFGS and its basic idea is first to construct a feedforward fuzzy and genetic algorithm is used to evolve neural network structure for several generations
When the gradient of the objective function or norm less than the preset value is used to optimize BFGS algorithm recognition experiment compared the algorithm GA
The recognition accuracy of fast convergence speed is improved about 7 recognition can be applied to a class of fuzzy neural networks Platform: |
Size: 732160 |
Author:renxiuju |
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Search - hybrid neural network