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psoyouhuannyj
- 基于粒子群优化的神经网络训练算法研究论文 摘 要: 本文提出了基于连接结构优化的粒子群优化算法(SPSO) 用于神经网络训练,该算法在训练神经网络权 值的同时优化其连接结构,删除冗余连接,使神经网络获得与模式分类问题匹配的信息处理能力. 经SPSO 训练的神经 网络应用于Iris ,Ionosphere 以及Breast cancer 模式分类问题,能够部分消除冗余分类参数及冗余连接结构对分类性能 的影响. 与BP 算法及遗传算法比较,该算法在提高分类误差精度的同时可加快训
MATLABPatternrecognition
- 基于MATLAB的模糊模式识别在癌细胞识别中的应用-Based on the MATLAB language Use computer fuzzy pattern recognition to determine the classification of cancer cells
xzuo
- 输入若干个人（如5男5女）相关信息：姓名，年龄，家乡，星座 按如下条件找出配对关系： 1. 按星座：白羊座金牛座，狮子座摩羯座，水瓶座射手座，双子座天秤座，巨蟹座处女座，双子座对天蝎座 2. 按故乡：故乡是一样的配一起 3. 按姓名：名字里有相同的字的话配对一起 -Enter the number of individuals (such as 5 male 5 female) related information: name, age, hometow
clustering
- Fuzzy Clustering. Problem: To extract rules from data Method: Fuzzy c-means Results: e.g., finding cancer cells
Cancer
- Please do not upload copyrighted content and the file which has trojan or virus
chap7
- 程序代码说明 P0701：细胞边缘检测 P0702：癌细胞形态学分析 P0703：癌细胞颜色分析-Procedure Code Descr iption P0701: Edge Detection P0702: cell morphology analysis P0703: Colors of cancer
chap7
- 程序代码说明 P0701：细胞边缘检测 P0702：癌细胞形态学分析 P0703：癌细胞颜色分析-Procedure Code Descr iption P0701: Edge Detection P0702: cell morphology analysis P0703: Colors of cancer
edge
- P0701：细胞边缘检测 P0702：癌细胞形态学分析 P0703：癌细胞颜色分析 比较适合Matlab图像处理初学者-P0701: Edge Detection P0702: cell morphology analysis P0703: analysis and comparison of color cancer cells Matlab image processing for beginners
lungbayesdemo
- 在matlab软件上模拟肺肿瘤生长，吸烟是诱发肺肿瘤的主要原因。-Matlab software to simulate the growth of lung cancer, lung cancer induced by smoking is the main reason.
f_CIN-2-Bhanot-et-al_163
- Data Perturbation Independent Diagnosis and Validation of Breast Cancer Subtypes Using Clustering and Patterns
breast
- breast edge detection program
matlab-chap7
- 包括细胞边缘检测，癌细胞形态学分析，癌细胞颜色分析三个例程。-Including cell detection, cell morphology analysis, color analysis of cancer three routines.
fusetool
- Image Fusion is the process of combining information of two or more images into a single image which can retain all important features of the all original images. Input to fusion is a set of images taken from different modalities of the same scene. O
Prostate-Cancer-Segmentation-With-Simultaneous.ra
- comparative study of optimization approaches in markov random field model for magnetic resonance image case study.also some other techniques are studied and described
BP-neural-network
- BP神经网络 乳腺癌诊断 自动选择最佳神经元个数-BP neural network automatically select the best breast cancer diagnosis the number of neurons
1
- 利用FLDA结合多核磁参数来检测前列腺癌-Detection of Prostate Cancer using Multi-parametric Magnetic Resonance
LVQ
- LVQ神经网络的分类——乳腺肿瘤诊断-LVQ neural network classification- breast cancer diagnosis
hagness_IEEETAP_03
- 时域波束形成实现早期乳腺肿瘤检测,采用超宽带一阶高斯波-time beamforming for early breast cancer detection by UWB
image-segmentation-
- 本文以免疫组化染色的胃腺癌细胞显微图像为主要研究对象，重点研究了胃腺癌免疫组化细胞图像的若干分割技术和区域特征识别技术。 -In this paper, immunohistochemical staining of gastric cancer cell microscopic image as the main object of study, focusing on the immunohistochemistry of gastric adenocarcinoma cell imag
featureextraction
- 癌细胞识别的经典识别程序，主要文件是featureextraction.m-cancer cells classic identification procedure