A model of Adaptive Neuro-Fuzzy Inference System (ANFIS) trained with an evolutionary algorithm, namely Genetic Algorithm (GA) is presented in this paper. Further, the tested on NASDAQ stock market indices which among most widely followed United States. Empirical results show that by determining parameters ANFIS (premise and consequent parameters) using GA, we can improve performance terms Mean...

The prediction of groundwater quality is very important for the management of water resources and environmental activities. The present study has integrated a number of methods such as Geographic Information Systems (GIS) and Artificial Intelligence (AI) methodologies to predict groundwater quality in Kerman plain (including HCO3-, concentrations and Electrical Conductivity (EC) of groundwater)...

In the past few decades, both academicians and industries have shown interest toward agricultural post-harvest operation aiming to reduce losses. order assist farmers in decision-making some effective innovative methodological frameworks are required. The fruit weight measurement is of prime importance many food processing during sorting, grading, packaging. this work, different Support vector ...

In this paper, echo cancellation is done using genetic algorithm (GA). The genetic algorithm is implemented by two kinds of crossovers; heuristic and microbial. A new procedure is proposed to estimate the coefficients of adaptive filters used in echo cancellation with combination of the GA with Least-Mean-Square (LMS) method. The results are compared for various values of LMS step size and diff...

Purpose: Among black transgender women (transwomen) at high risk of HIV acquisition or already living with HIV/AIDS, the study examined whether medical or socially based gender affirming factors may contribute differentially to selected measures of resiliency, perceived stress, and a scale measure of mental health outcomes. This question has implications for clinical care and counseling of this...

roy adaptation model in hemodialysis patients: a mixed method research hassani p[1]*, otaghi m[2] received: 17 may, 2012 accepted: 13aug, 2012 abstractbackground & aims: ram is used in ersd patients. nurses play important role in their adaptation. the goal of the study is to explain the adaptive and ineffective responses of hemodialysis patients based on ram in qualitative part, and to compare ...

This paper proposes a new improved Genetic Algorithm (GA) by utilizing a Data Mining technique, and demonstrates how it is superior to traditional GA on a popular job shop scheduling problem. GA has long been widely applied to solve complex optimization problems in a good variety of areas. It has advantages of adaptive capability, efficient search, potential to avoid local optimum, etc. In rece...

Abs tract . Deciding on an appropriate population size for a given genet ic algor it hm (GA) applicat ion can oft en be crit ical to the success of the algorit hm . Too small, and t he GA can fall vict im to sampling erro r , affect ing the efficacy of it s search . Too large, and t he GA wastes computational resour ces. Although advice exists for sizing GA popula tions, much of this adv ice in...