The paper is a survey of the soft computing methods and their application to the data mining problems. Neural networks, fuzzy sets, neurofuzzy systems, and genetic algorithms are considered. The advantages and disadvantages of the soft computing tools as well as specific issues of their application to the processing of large datasets are analyzed, and the directions for their further improvemen...

The paper compares the use of neural network and neurofuzzy approaches in diagnosis of endogenous intoxication syndrome. The comparison was carried out on real patient data. Data preprocessing, neural network design and experiments are reported. A fuzzy neural network and results of experiments with it are presented. The advantages of fuzzy neural network are shown.

The problem of nonlinear system identification as applied to protein folding problem is discussed in this paper. The mapping of amino acid sequence and the atomic coordinates of the alpha carbon atoms of the amino acids in a protein is typically a nonlinear problem. System identification is performed using adaptive neurofuzzy techniques. Various ANFIS models are created and the model with the l...

Conventional Non Destructive Testing (NDT) techniques for assessing the weld quality are applied after welding is completed. It results in wastage of time, material and manpower. These inherent limitations of the conventional welding processes can be overcome with an automated adaptive welding system to correct the deviation in the welding current and torch speed to provide defect free welds. T...

Automatic reusability appraisal could be helpful in evaluating the quality of developed or developing reusable software components and in identification of reusable components from existing legacy systems; that can save cost of developing the software from scratch. But the issue of how to identify reusable components from existing systems has remained relatively unexplored. In this paper, we ha...

Based on the hypothesis that the brain is a society of semiautonomous neural agents and full autonomy is the result of coordination of semiautonomous functionalities, a multiagent data warehousing (MADWH) and multiagent data mining (MADM) approach is presented for brain modeling and illustrated with robot motion control. An algorithm named Neighbor-Miner is proposed for MADWH and MADM. The algo...

A large number of techniques, such a neural networks and neurofuzzy systems, are used to produce empirical models based in part or in whole on observed data. A key stage in the modelling process is the selection of features. Irrelevant or noisy features increase the complexity of the modelling problem, may introduce additional costs in gathering unneeded data, and frequently degrade modelling p...

This paper presents a hybrid soft computing technique for the study of time varying processes based on a combination of neurofuzzy techniques with evolutionary algorithms, in particular, genetic algorithms . Two problems are simultaneously addressed: the discovery of patterns of dependency in general multivariate dynamic systems (in an optimal or quasi-optimal sense), and the construction of a ...