This paper presents a comparison between two Artificial Neural Network (ANN) approaches, namely, Multilayer Perceptron (MLP) and Radial Basis Function (RBF) networks, in flood forecasting. The basic difference between the two methods is that the parameters of the former network are nonlinear and those of the latter are linear. The optimum model parameters are therefore guaranteed in the latter,...

Introduction: Diabetes is the most common endocrine disease caused by sugar, fat and protein metabolism disorder and is characterized by blood sugar increase. Pre-diabetic individuals are the most vulnerable people at risk of diabetes, therefore; in the present study pre-diabetic individuals are considered as control group versus diabetic patients. Depending on the nature of dependent and predi...

The adsorption ability of Dowex Optipore L493 resin modified with Aliquat 336 (MR), activated carbon modified with Aliquat 336 (MAC) and sawdust modified with Aliquat 336 (MS) for removal of Cr(VI) from aqueous solution in batch system was investigated. The effects of operational parameters such as adsorbent dosage, initial concentration of Cr(VI) ions, pH, temperature and contact time were stu...

Software aging is a phenomenon that refers to progressive performance degradation or transient failures or even crashes in long running software systems such as web servers. It mainly occurs due to the deterioration of operating system resource, fragmentation and numerical error accumulation. A primitive method to fight against software aging is software rejuvenation. Software rejuvenation is a...

The novelty of this paper is due to the investigation of the possibility of reaching a reliable global effective model of temperature dependence on the optical properties, based on automated neural network (ANN). For this approach, starting with a series of experimental data set of the measured reflectance magnitudes we built and studied 20 different ANN with RBF and MLP structure and with diff...

The aim of this study was to determine the probability of working days (PWD) for tillage operation using weather data with Multiple Linear Regression (MLR) and Radial Basis Function (RBF) artificial networks. In both models, seven variables were considered as input parameters, namely minimum, average and maximum temperature, relative humidity, rainfall, wind speed, and evaporation on a daily ba...

Background: Multiple Sclerosis (MS) is one of the most debilitating disease among young adults. Understanding the disability score (Expanded Disability Status Scale (EDSS)) of these patients is helpful in choosing their treatment process. Calculating EDSS takes a lot of time for Neurologists, so having a way to estimate EDSS can be helpful. This study aimed to estimate the EDSS score of MS pati...

Continued increases in the emission of greenhouse gases by passenger vehicles have accelerated production hybrid electric vehicles. With this increase production, there has been a parallel demand for continuously improving strategies vehicle control. The goal an ideal control strategy is to maximize fuel economy while minimizing emissions. Methods exist which globally optimal may be found. Howe...

In the present study, RBF neural networks were used for predicting the performance and emission parameters of a biodiesel engine. Engine experiments were carried out in a 4 stroke diesel engine using blends of diesel and Honge methyl ester as the fuel. Performance parameters like BTE, BSEC, Tex and emissions from the engine were measured. These experimental results were used for ANN modeling. R...