Role of Neural Networks on the Bright Future of Computer Sciences - Soliman, Fouad;Mahmoud, Karima
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A neural network is a group of interconnected units called neurons that send signals to one another. Neurons can be either biological cells or mathematical models. While individual neurons are simple, many of them together in a network can perform complex tasks. There are two main types of neural network.In neuroscience, a biological neural network is a physical structure found in brains and complex nervous systems - a population of nerve cells connected by synapses.In machine learning, an artificial neural network is a mathematical model used to approximate nonlinear functions. Artificial…mehr

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Produktbeschreibung
A neural network is a group of interconnected units called neurons that send signals to one another. Neurons can be either biological cells or mathematical models. While individual neurons are simple, many of them together in a network can perform complex tasks. There are two main types of neural network.In neuroscience, a biological neural network is a physical structure found in brains and complex nervous systems - a population of nerve cells connected by synapses.In machine learning, an artificial neural network is a mathematical model used to approximate nonlinear functions. Artificial neural networks are used to solve artificial intelligence problems. Neural networks are used to solve problems in artificial intelligence and have thereby found applications in many disciplines, including predictive modeling, adaptive control, facial recognition, handwriting recognition, general game playing and generative AI.
Autorenporträt
Dr. Eng. Fouad A. S. Soliman: Prof., Electronics and Computer Sciences, Nuclear Materials Authority, Ministry of Electricity and Renewable Energy, Cairo, Egypt.Dr. Karima A. Mahmoud, Physics Researcher.