Mini Review on Application of Neural Networks in Solar Energy Conversion

سال انتشار: 1392
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 948

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شناسه ملی سند علمی:

ECONF01_314

تاریخ نمایه سازی: 21 تیر 1393

چکیده مقاله:

People and animals are much better and faster at recognizing images than most advanced computers. Although computers outperform both biological and artificial neural systems for tasks based on precise and fast arithmetic operations, artificial neural systems represent the promising new generation of information processing networks. Advances have been made in applying such systems for problems found intractable or difficult for traditional computation. Neural networks can be applied to solar system models to make sensible decisions in different areas. Present work reviewed the most important applications of neural networks in solar energy systems.

کلیدواژه ها:

artificial neural network (ANN) ، solar systems

نویسندگان

Alibakhsh Kasaeian

Assistant Professor, Faculty of New Sciences and Technologies, University of Tehran

Mohammad Sameti

M.Sc. Student of Renewable Energy, Faculty of New Sciences and Technologies, University of Tehran

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