Genetic Algorithm based Rule Extraction from Pruned Modified Fuzzy Hyperline Segment Neural Network for Pattern Classification
نویسندگان
چکیده
The Pruned modified fuzzy hyperline segment neural network (PMFHLSNN) is pruned extension of Fuzzy hyperline segment neural network (FHLSNN) with modification in the testing phase. In this paper, a genetic algorithm based rule extractor (GA-PMFHLSNN) is proposed to extract a small set of compact and comprehensible fuzzy if-then rules with high classification accuracy from the PMFHLSNN. After pruning, open hyperline segments are generated from the remaining hyperline segments and a "don't care" approach is adopted by GA rule extractor to minimize the number of features in the extracted rules with higher classification accuracy. The performance of FHLSNN, PMFHLSNN and GA-PMFHLSNN are evaluated using
منابع مشابه
Pruned Modified Fuzzy Hyperline Segment Neural Network and Its Application to Pattern Classification
The Fuzzy hyperline segment neural network (FHLSNN) is supervised classifier that forms n-dimensional hyperline segments (HLS) defined by two end points with a corresponding membership function for learning and testing. In this paper, the Pruned fuzzy hyperline segment neural network (PFHLSNN) and Pruned modified fuzzy hyperline segment neural network (PMFHLSNN) are proposed. The pruning method...
متن کاملModified Fuzzy Hyperline Segment Neural Network for Pattern Classification and Recognition
The Fuzzy Hyperline Segment Neural Network (FHLSNN) utilizes fuzzy set as pattern classes in which each fuzzy set is a union of fuzzy set hyperline segments. This is supervised classifier that forms n-dimensional hyperline segments defined by two end points with a corresponding membership function for learning and prediction. In this paper, we propose the modifications in the prediction phase o...
متن کاملSUBCLASS FUZZY-SVM CLASSIFIER AS AN EFFICIENT METHOD TO ENHANCE THE MASS DETECTION IN MAMMOGRAMS
This paper is concerned with the development of a novel classifier for automatic mass detection of mammograms, based on contourlet feature extraction in conjunction with statistical and fuzzy classifiers. In this method, mammograms are segmented into regions of interest (ROI) in order to extract features including geometrical and contourlet coefficients. The extracted features benefit from...
متن کاملFuzzy Hyperline Segment Neural Network Pattern Classifier with Different Distance Metrics
The Fuzzy Hyperline Segment Neural Network (FHLSNN) pattern classifier utilizes fuzzy set as pattern classes in which each fuzzy set is a union of fuzzy set hyperline segments. The Euclidean distance metric is used to compute the distances to decide the degree of membership function. In this paper, the use of other various distance metrics such as Manhattan, Squared Euclidean, Canberra and Cheb...
متن کاملForecasting Stock Market Using Wavelet Transforms and Neural Networks: An integrated system based on Fuzzy Genetic algorithm (Case study of price index of Tehran Stock Exchange)
The jamor purpose of the present research is to predict the total stock market index of Tehran Stock Exchange, using a combined method of Wavelet transforms, Fuzzy genetics, and neural network in order to predict the active participations of finance market as well as macro decision makers.To do so, first the prediction was made by neural network, then a series of price index was decomposed by w...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2016