Water temperature prediction in a subtropical subalpine lake using soft computing techniques

Investigating electrochemical drilling (ECD) using statistical and soft computing techniques

In the present study, five modeling approaches of RA, MLP, MNN, GFF, and CANFIS were applied so as to estimate the radial overcut values in electrochemical drilling process. For these models, four input variables, namely electrolyte concentration, voltage, initial machining gap, and tool feed rate, were selected. The developed models were evaluated in terms of their prediction capability with m...

Prediction Of Diabetes Using Soft Computing Techniques- A Survey

Neural Networks are one of the soft computing techniques that can be used to make predictions on medical data. Neural Networks are known as the Universal predictors. Diabetes mellitus or simply diabetes is a disease caused due to the increase level of blood glucose. Various traditional methods, based on physical and chemical tests, are available for diagnosing diabetes. The Artificial Neural Ne...

Prediction of seasonal temperature using soft computing techniques: application in Benevento (Southern Italy) area

In this work two soft computing methods, Artificial Neural Networks and Genetic Programming, are proposed in order to forecast the mean air temperature that will occur in future seasons. The area in which the soft computing techniques were applied is that of the surroundings of the town of Benevento, in the south of Italy, having the geographic coordinates (lat. 41◦07’50”N; long.14◦47’13”E). Th...

Implementation of Temperature Process Control using Soft Computing Techniques

Objective of this paper is to design various controllers for a temperature process control. PID controller is the well known and most widely used in the industries. Internal Model Control (IMC) has become the leading form of advanced control in the process industry. Modified form of IMC-PID and Fuzzy PID Controllers are designed for First Order Plus Dead Time (FOPTD) process model. The comparat...

Hydrologic Prediction Using Pattern Recognition and Soft-computing Techniques