An Artificial Neural Network, often just called a neural network, is a mathematical model inspired by biological neural networks. A neural network consists of an interconnected group of artificial neurons, and it processes information using a connectionist approach to computation. In most cases a neural network is an adaptive system that changes its structure during a learning phase. Neural networks are used to model complex relationships between inputs and outputs or to find patterns in data.
Read more about Artificial Neural Network: Background, Models, Employing Artificial Neural Networks, Applications, Neural Network Software, Types of Artificial Neural Networks, Disadvantages, Gallery
Famous quotes containing the words artificial and/or network:
“For, as it is dislocation and detachment from the life of God, that makes things ugly, the poet, who re-attaches things to nature and the Whole,—re-attaching even artificial things, and violations of nature, to nature, by a deeper insight,—disposes very easily of the most disagreeable facts.”
—Ralph Waldo Emerson (1803–1882)
“How have I been able to live so long outside Nature without identifying myself with it? Everything lives, moves, everything corresponds; the magnetic rays, emanating either from myself or from others, cross the limitless chain of created things unimpeded; it is a transparent network that covers the world, and its slender threads communicate themselves by degrees to the planets and stars. Captive now upon earth, I commune with the chorus of the stars who share in my joys and sorrows.”
—Gérard De Nerval (1808–1855)