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Survey of Artificial Neural Networks and Applications

عنوان مقاله: Survey of Artificial Neural Networks and Applications
شناسه ملی مقاله: JR_BGS-5-1_006
منتشر شده در در سال 1402
مشخصات نویسندگان مقاله:

Pedram MohajerAnsari - Department of Computer Engineering, Sirjan University of Technology, Sirjan , Kerman, Iran
Bahareh Kargar - Department of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran

خلاصه مقاله:
These days, machines have replaced humans in many cases, and many physical tasks that were performed by humans in the past are now done by machines. Although the power of computers in storage, retrieval of information, and administrative automation is undeniable, there are still instances where humans are obliged to carry out tasks themselves. In such systems, the brain cannot internally dissect and analyze the system and merely guesses the internal operation of the system based on external behaviors and predicts its reactions. Over time, the human brain, by observing the sequence of system behaviors and occasionally experimenting, can identify the habits of the system to some extent as a result of manipulating one of the components of the system. This learning process, as a result of observing varied examples from the system, leads to gaining experience.These days, machines have replaced humans in many cases, and many physical tasks that were performed by humans in the past are now done by machines. Although the power of computers in storage, retrieval of information, and administrative automation is undeniable, there are still instances where humans are obliged to carry out tasks themselves. In such systems, the brain cannot internally dissect and analyze the system and merely guesses the internal operation of the system based on external behaviors and predicts its reactions. Over time, the human brain, by observing the sequence of system behaviors and occasionally experimenting, can identify the habits of the system to some extent as a result of manipulating one of the components of the system. This learning process, as a result of observing varied examples from the system, leads to gaining experience.

کلمات کلیدی:
Neural Network, System Functions, Computer System, Artificial Intelligence

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/1902506/