Automatic text classification based on vector space model (VSM), artificial neural networks (ANN), Knearest neighbor (KNN), N aives Bayes (NB) and support vector machine (SVM) have been applied on English language documents, and gained popularity among text mining and information retrieval (IR) researchers. This paper proposes the application of ANN for the classification of Tamil language docu...

the main problem associated with the traditional approach to image classification for the mapping of hydrothermal alteration is that materials not associated with hydrothermal alteration may be erroneously classified as hydrothermally altered due to the similar spectral properties of altered and unaltered minerals. the major objective of this paper is to investigate the potential of a neuro-fuz...

BACKGROUND AND OBJECTIVES Artificial neural networks (ANNs) are flexible and nonlinear models which can be used by clinical oncologists in medical research as decision making tools. This study aimed to predict distant metastasis (DM) of colorectal cancer (CRC) patients using an ANN model. METHODS The data of this study were gathered from 1219 registered CRC patients at the Research Center for...

Objectives Kidney transplantation is the best renal replacement therapy for patients with end-stage renal disease. Several studies have attempted to identify predisposing factors of graft rejection; however, the results have been inconsistent. We aimed to identify prognostic factors associated with kidney transplant rejection using the artificial neural network (ANN) approach and to compare the...

We propose a novel method for automatic recognition of alertness level from full spectrum electroencephalogram (EEG) recordings. This procedure uses power spectral density (PSD) of discrete wavelet transform (DWT) of full spectrum EEG as an input to an artificial neural network (ANN) with three discrete outputs: alert, drowsy and sleep. The error back propagation neural network is selected as a...

A visual segmentation mechanism for a connectionist pattern recognition system is sought. However, to find such a device requires the solution of the dynamic binding problem. Visual segmentation could be learned by a dynamic binding network. Several puta-tive dynamic binding mechanisms are discussed but each is found to have weaknesses. Two mechanisms are being studied in greater depth so that ...

Today Skin diseases and lesions are the most common diseases that people suffer in different age groups. The paper presents the connectionist expert system for medical diagnosis of the most common skin disease – the Scabies using Artificial Neural Network (ANN) based classifier. The model has been implemented using Matlab. The system helps the medical professional in making effective treatment ...

The detection of correct sub-type of a particular cancer helps in appropriate treatment and faster recovery of the patient .In this paper the survey of different methods used in the process atomization of cancer sub-classification are presented. Conventional methods of cancer sub-classification depend largely on physician’s knowledge and experience. Automation of cancer sub-type classification ...