CERVICAL CANCER DIAGNOSTIC SYSTEM USING ADAPTIVE FUZZY MOVING K-MEANS ALGORITHM AND FUZZY MIN-MAX NEURAL NETWORK

ANAS QUTEISHAT; MOHAMMAD AL-BATAH; ANWAR AL-MOFLEH; SHARHABEEL H. ALNABELSI

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CERVICAL CANCER DIAGNOSTIC SYSTEM USING ADAPTIVE FUZZY MOVING K-MEANS ALGORITHM AND FUZZY MIN-MAX NEURAL NETWORK

机译：自适应模糊移动K均值和模糊最小二乘神经网络的宫颈癌诊断系统

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Pap smear screening is the most successful attempt of medical science and practice for the early detection of cervical cancer. Manual analysis of the cervical cells is time consuming, laborious and error prone. This paper presents a Neural Network (NN) ba

机译：子宫颈抹片检查是早期发现宫颈癌的医学和实践中最成功的尝试。手动分析宫颈细胞既费时，费力又容易出错。本文介绍了神经网络（NN）ba

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《Journal of Theoretical and Applied Information Technology 》 |2013年第1期| 共页
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ANAS QUTEISHAT; MOHAMMAD AL-BATAH; ANWAR AL-MOFLEH; SHARHABEEL H. ALNABELSI;
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中图分类计算技术、计算机技术 ;
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1. CERVICAL CANCER DIAGNOSTIC SYSTEM USING ADAPTIVE FUZZY MOVING K-MEANS ALGORITHM AND FUZZY MIN-MAX NEURAL NETWORK [J] . ANAS QUTEISHAT, MOHAMMAD AL-BATAH, ANWAR AL-MOFLEH, Journal of Theoretical and Applied Information Technology . 2013 ,第1期

机译：自适应模糊移动K均值和模糊最小二乘神经网络的宫颈癌诊断系统
2. An Adaptive Fuzzy Min-Max Neural Network Classifier Based on Principle Component Analysis and Adaptive Genetic Algorithm [J] . Jinhai Liu, Zhibo Yu, Dazhong Ma Mathematical Problems in Engineering . 2012 ,第pta11期

机译：基于主成分分析和自适应遗传算法的自适应模糊最小-最大神经网络分类器
3. An Adaptive Fuzzy Min-Max Neural Network Classifier Based on Principle Component Analysis and Adaptive Genetic Algorithm [J] . JinhaiLiu, ZhiboYu, DazhongMa Mathematical Problems in Engineering: Theory, Methods and Applications . 2012 ,第2期

机译：基于主成分分析和自适应遗传算法的自适应模糊最小-最大神经网络分类器
4. Performance of Hybrid Radial Basis Function network: Adaptive Fuzzy K-Means versus Moving k-Means Clustering as centre positioning algorithms on cervical cell precancerous stage classification [C] . Sulaiman Siti Noraini, Ahmad Khairul Azman, Baharudin Rohaiza, IEEE International Conference on Control System, Computing and Engineering . 2012

机译：混合径向基函数网络的性能：自适应模糊K均值与移动K均值聚类作为宫颈细胞癌前期分类的中心定位算法
5. An application of Artificial Neural Networks to forecast winning price: A comparison of Back-Propagation Networks and Adaptive Network-Based Fuzzy Inference Systems. [D] . Lin, Yingchih. 2010

机译：人工神经网络在中奖价格预测中的应用：反向传播网络与基于自适应网络的模糊推理系统的比较。
6. Multiple Adaptive Neuro-Fuzzy Inference System with Automatic Features Extraction Algorithm for Cervical Cancer Recognition [O] . Mohammad Subhi Al-batah, Nor Ashidi Mat Isa, Mohammad Fadel Klaib, 2014

机译：具有特征提取算法的多自适应神经模糊推理系统对宫颈癌的识别
7. An Adaptive Fuzzy Min-Max Neural Network Classifier Based on Principle Component Analysis and Adaptive Genetic Algorithm [O] . Jinhai Liu, Zhibo Yu, Dazhong Ma 2012

机译：一种基于原理分析分析和自适应遗传算法的自适应模糊MIN-MAX神经网络分类器

CERVICAL CANCER DIAGNOSTIC SYSTEM USING ADAPTIVE FUZZY MOVING K-MEANS ALGORITHM AND FUZZY MIN-MAX NEURAL NETWORK

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