this study aimed to analyze and modeling of energy and performance of dryland chickpea adaptive neuro-fuzzy inference system utilizes (anfis) in dryland chickpea production is done in the city of bukan. data were collected from 70 producers of chickpeas using face to face interviews with farmers and completing the questionnaire specialized. size of land was between 2 and 10 hectares. input fact...

objective(s): a fast and reliable evaluation of the binding energy from a single conformation of a molecular complex is an important practical task. artificial neural networks (anns) are strong tools for predicting nonlinear functions which are used in this paper to predict binding energy. we proposed a structure that obtains binding energy using physicochemical molecular descriptions of the se...

distributed generation (dg) sources are becoming more prominent indistribution systems due to the incremental demands for electrical energy. locationsand capacities of dg sources have great impacts on the system losses in adistribution network. this paper presents a study aimed for optimally determiningthe size and location of distributed generation units in distribution systems withdifferent l...

Energy demand modeling of machining processes is the foundation of energy optimization. Energy demand of machining state transition is integral to the energy requirements of the machining process. However, research focus on energy modeling of state transition is scarce. To fill this gap, an energy demand modeling methodology of key state transitions of the turning process is proposed. The estab...