Microarray-Based Cancer Prediction Using Soft Computing Approach

Microarray-Based Cancer Prediction Using Soft Computing Approach

One of the difficulties in using gene expression profiles to predict cancer is how to effectively select a few informative genes to construct accurate prediction models from thousands or ten thousands of genes. We screen highly discriminative genes and gene pairs to create simple prediction models involved in single genes or gene pairs on the basis of soft computing approach and rough set theor...

Churn Prediction using Soft Computing

A soft computing-based approach to spatio-temporal prediction

This paper aims to incorporate intelligent mechanisms based on Soft Computing in Geographical Information Systems (GIS). The proposal here is to present a spatio-temporal prediction method of forestry evolution for a sequence of binary images by means of fuzzy inference systems (FIS), genetic algorithm (GA) and genetic programming (GP). The main inference is based on a fuzzy system which proces...

Soft Computing Based Epidemical Crisis Prediction

Epidemical crisis prediction is one of the most challenging examples of decision making with uncertain information. As in many other types of crises, epidemic outbreaks may pose various degrees of surprise as well as various degrees of “derivatives” of the surprise (i.e., the speed and acceleration of the surprise). Often, crises such as epidemic outbreaks are accompanied by a secondary set of ...

Traffic Congestion Prediction using Soft computing Technique

-Network traffic forecasting has many important role to play in the domain of network traffic congestion control, its management and network traffic engineering. Characterizing the traffic and modeling are necessary for efficient functioning of the network. It is very vital for any model to depict self similarity, heavy tailed distribution and long range dependence (LRD). Thus modeling of time ...