Many research studies have proved neural networks as a viable alternative to statistical models for classification tasks. However, compared with statistical models, neural networks have had the drawback of being unable to explain its classification logic until the development of rule extraction algorithms from trained neural networks. This research attempts to compare the results of the rule ex...

This research is a model group, the probability that a patient is detected at any breast cancer or not breast cancer. Assessment of characteristics of abnormal growth of breast cancer cells such as Clump Thickness (X1), Uniformity of Cell Size (X2), Uniformity of Cell Shape (X3), Marginal Adhesion (X4), Single Epithelial Cell Size (X5), Bare Nuclei (X6), Bland Chromatin (X7), Normal Nucleoli (X...

BACKGROUND Logistic regression (LR) and linear discriminant analysis (LDA) are two popular statistical models for prediction of group membership. Although they are very similar, the LDA makes more assumptions about the data. When categorical and continuous variables used simultaneously, the optimal choice between the two models is questionable. In most studies, classification error (CE) is used...

One important issue commonly encountered in the analysis of microarray data is to decide which and how many genes should be selected for further studies. For discriminant microarray data analyses based on statistical models, such as the logistic regression models, gene selection can be accomplished by a comparison of the maximum likelihood of the model given the real data, L(D|M), and the expec...

classical lbp such as complexity and high dimensions of feature vectors that make it necessary to apply dimension reduction processes. in this paper, we introduce an improved lbp algorithm to solve these problems that utilizes fast pca algorithm for reduction of vector dimensions of extracted features. in other words, proffer method (fast pca+lbp) is an improved lbp algorithm that is extracted ...

late blight, caused by phytophthora infestans, is one of the most important diseases of potato in the world and iran, especially in golestan province. 16 models have introduced for forecasting the disease in the world, sofar. in order to developing a forecasting model, wether and disease occurrence data during the recent 10 years were used.then, 22 variables were built using daily temperature, ...

rapid exploratory field survey, to identify indigenous chicken ecotypes was conducted in north gondar zone of ethiopia. chicken ecotypes including necked neck, gasgie and gugut from quara, alefa and tache armacheho districts were identified, respectively. morphological variations among the three study populations and nine measurable traits were evaluated. general linear model, canonical discrim...

when the number of training samples is limited, feature reduction plays an important role in classification of hyperspectral images. in this paper, we propose a supervised feature extraction method based on discriminant analysis (da) which uses the first principal component (pc1) to weight the scatter matrices. the proposed method, called da-pc1, copes with the small sample size problem and has...