Reinforced concrete (RC) slabs exhibit complexities in their structural behavior under load due to the composite nature of the material and the multitude and variety of factors that affect such behavior. Current methods for determining the load-deflection behavior of reinforced concrete slabs are limited in scope and are mostly dependable on the results of experimental tests. In this study, an ...

Now a days the general manufacturing problem can be described as the achievement of a predefined product quality with given equipment, cost and time constraints. There is a rapid development in the quality of advanced aero space materials like aluminum and its alloys with improved properties. The difficulties in machining of these materials economically and effectively are limiting their applic...

The Phoneme Dedicated Artificial Neural Network (PDANN) segmental duration model consists of a set of ANNs trained specifically for each phoneme segment in order to avoid miscellaneous influence of different types of phoneme segments. Therefore, each ANN is dedicated to predict the duration of a specific phoneme segment. Objective and subjective measurements of the performance of the PDANN mode...

The observation of peak flows into river or stream system is not straight forward but complex function of hydrology and geology. Accurate suspended sediment prediction in rivers is an integral component of sustainable water resources and environmental systems modeling. Agricultural fields’ fertility decays, rivers capacity decreases and reservoirs are filled due to sedimentation. The observatio...

Vibrato is an important factor that affects the naturalness level of a synthetic singing voice. Therefore, the analysis and modeling of vibrato parameters are studied in this paper. The vibrato parameters of those syllables segmented from recorded songs are analyzed by using short-time Fourier transform and the method of analytic signal. After the vibrato parameter values for all training sylla...

Enhancement of strength and ductility is the main reason for the extensive use of FRP (fiber reinforced polymer) jackets to provide external confinement to reinforced concrete columns especially in seismic areas. Therefore, numerous researches have been carried out in order to provide a better description of the behavior of FRP confined concrete for practical design purposes. This study present...

In this paper, a new approach of modeling for Artificial Neural Networks (ANNs) models based on the concepts of fuzzy regression is proposed. For this purpose, we reformulated ANN model as a fuzzy nonlinear regression model while it has advantages of both fuzzy regression and ANN models. Hence, it can be applied to uncertain, ambiguous, or complex environments due to its flexibility for forecas...

in this study two intelligent systems, based on adaptive neuro-fuzzy inference systems (anfis) and artificial neural networks (anns) of forecasting municipal solid wastes (msw) generation has been proposed. anfis and anns as an intelligent tool compared with together was used to monthly prediction of msw generated in tehran. monthly amount of solid wastes (sw), total monthly precipitation, mont...

A statistical model, using Artificial Neural Networks (ANN), has been developed for the aerobic suspended growth Wastewater Treatment (WWT) plant. The paper presents the way ANN model has been designed and trained. The emerged recurrent ANN model has been used to perform WWT control using Model Predictive Control (MPC) algorithm. Model Predictive Control of the WWT soluble substrate and dissolv...