in general, amount of sludge will definitely increase in near future and composting processes, optimum composting conditions and compost use as fertilizer and soil amendment will then be significant research topics. the present study was conducted for o2 parameter estimation by multiple regression and artificial neural networks methods. daily temperature, ch4, h2s, co2 and o2 measurements were ...

in this paper, an attempt has been made to introduce a new control strategy including plug-in hybrid electric vehicle (phev) and diesel engine generator to control the voltage and frequency of autonomous microgrids. the proposed control strategy has multiple advantages over the recent control methods in microgrids. the proposed method applies the primary and secondary frequency control strategy...

in this paper, an attempt has been made to introduce a new control strategy including plug-in hybrid electric vehicle (phev) and diesel engine generator to control the voltage and frequency of autonomous microgrids. the proposed control strategy has multiple advantages over the recent control methods in microgrids. the proposed method applies the primary and secondary frequency control strategy...

in recent years, researches on reinforcement learning (rl) have focused on bridging the gap between adaptive optimal control and bio-inspired learning techniques. neural network reinforcement learning (nnrl) is among the most popular algorithms in the rl framework. the advantage of using neural networks enables the rl to search for optimal policies more efficiently in several real-life applicat...

This paper reviews the application of artificial neural networks in medical image preprocessing, in medical image object detection and recognition. Main advantages and drawbacks of artificial neural networks were discussed. By this survey, the paper try to answer what the major strengths and weakness of applying neural networks for medical image processing would be.

Bio-absorbent palm fiber was applied for removal of cationic violet methyl dye from water solution. For this purpose, a solid phase extraction method combined with the artificial neural network (ANN) was used for preconcentration and determination of removal level of violet methyl dye. This method is influenced by factors such as pH, the contact time, the rotation speed, and the adsorbent dosag...

A functional relationship between two variables, applied mass to a weighing platform and estimated mass using Multi-Layer Perceptron Artificial Neural Networks is approximated by a linear function. Linear relationships and correlation rates are obtained which quantitatively verify that the Artificial Neural Network model is functioning satisfactorily. Estimated mass is achieved through recallin...