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Neural network - Neural Networks and Artificial Intelligence | A Wisdom Archive on Neural network - Neural Networks and Artificial Intelligence | | Neural network - Neural Networks and Artificial Intelligence A selection of articles related to Neural network - Neural Networks and Artificial Intelligence | |
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Neural network, Neural network - Background, Neural network - Characterization, Neural network - Current research, Neural network - History of the neural network analogy, Neural network - Learning algorithms, Neural network - Learning paradigms, Neural network - Neural Networks and Artificial Intelligence, Neural network - Neural networks and Neuroscience, Neural network - References, Neural network - The brain neural networks and computers, Neural network - Theoretical properties, Neural network - Types of artificial neural networks, Neural network - Types of models, Artificial neural network, Cognitive architecture, Biologically-inspired computing, Parallel distributed processing, Biological cybernetics, distributed representation, Neuro-fuzzy
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ARTICLES RELATED TO Neural network - Neural Networks and Artificial Intelligence | | | |  Neural network - Neural Networks and Artificial Intelligence: Encyclopedia II - Neural network - Neural Networks and Artificial IntelligenceMain article: Artificial Neural Network
Neural network - Background.
Neural network models in artificial intelligence are usually referred to as artificial neural networks (ANNs); these essentially simple mathematical models defining a function . The epithet network is used because this function is decomposable into a number of simpler, interconnected elements.
A particular type of ANN model corresponds to a class of such functions. What has attract ...
See also:Neural network, Neural network - Characterization, Neural network - The brain neural networks and computers, Neural network - Neural Networks and Artificial Intelligence, Neural network - Background, Neural network - Learning paradigms, Neural network - Learning algorithms, Neural network - Theoretical properties, Neural network - Generalisation and statistics, Neural network - Types of artificial neural networks, Neural network - Neural networks and Neuroscience, Neural network - Types of models, Neural network - Current research, Neural network - References, Neural network - History of the neural network analogy Read more here: » Neural network: Encyclopedia II - Neural network - Neural Networks and Artificial Intelligence |
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| | | | Neural network - Neural Networks and Artificial Intelligence: Encyclopedia II - Neural network - History of the neural network analogy (main article: Connectionism)
The concept of neural networks started in the late-1800s as an effort to describe how the human mind performed. These ideas started being applied to computational models with the Perceptron.
In early 1950s Friedrich Hayek was one of the first to posit the idea of spontaneous order in the brain arising out of decentralized networks of simple units (neurons). In the late 1940s, Donnald Hebb made one of the first hypotheses for a mechanism of neural plasticity (i.e. learning), Hebbian learning. ...
See also:Neural network, Neural network - Characterization, Neural network - The brain neural networks and computers, Neural network - Neural Networks and Artificial Intelligence, Neural network - Background, Neural network - Learning paradigms, Neural network - Learning algorithms, Neural network - Theoretical properties, Neural network - Generalisation and statistics, Neural network - Types of artificial neural networks, Neural network - Neural networks and Neuroscience, Neural network - Types of models, Neural network - Current research, Neural network - References, Neural network - History of the neural network analogy Read more here: » Neural network: Encyclopedia II - Neural network - History of the neural network analogy |
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| | | | Neural network - Neural Networks and Artificial Intelligence: Encyclopedia II - Neural network - Neural networks and Neuroscience Theoretical and computational neuroscience is the field concerned with the theoretical analysis and computational modeling of biological neural systems. Since neural systems are intimately related to cognitive processes and behaviour, the field is closely related to cognitive and behavioural modeling.
The aim of the field is to create models of biological neural systems in order to understand how biological systems work. To gain this understanding, neuroscientists strive to make a link between observed biological processes (data), bio ...
See also:Neural network, Neural network - Characterization, Neural network - The brain neural networks and computers, Neural network - Neural Networks and Artificial Intelligence, Neural network - Background, Neural network - Learning paradigms, Neural network - Learning algorithms, Neural network - Theoretical properties, Neural network - Generalisation and statistics, Neural network - Types of artificial neural networks, Neural network - Neural networks and Neuroscience, Neural network - Types of models, Neural network - Current research, Neural network - References, Neural network - History of the neural network analogy Read more here: » Neural network: Encyclopedia II - Neural network - Neural networks and Neuroscience |
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| | | | Neural network - Neural Networks and Artificial Intelligence: Encyclopedia II - Neural network - The brain neural networks and computers While historically the brain has been viewed as a type of computer, and vice-versa, this is true only in the loosest sense. Computers are not models of the brain (even though it is possible to describe a logical process as a computer program, or to simulate a brain using a computer) as they were not created with that purpose in mind.
However, neural networks used in artificial intelligence have traditionally been viewed as simplified models of neural processing in the brain. The question of what is the degree of complexity and the pro ...
See also:Neural network, Neural network - Characterization, Neural network - The brain neural networks and computers, Neural network - Neural Networks and Artificial Intelligence, Neural network - Background, Neural network - Learning paradigms, Neural network - Learning algorithms, Neural network - Theoretical properties, Neural network - Generalisation and statistics, Neural network - Types of artificial neural networks, Neural network - Neural networks and Neuroscience, Neural network - Types of models, Neural network - Current research, Neural network - References, Neural network - History of the neural network analogy Read more here: » Neural network: Encyclopedia II - Neural network - The brain neural networks and computers |
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| | | | Neural network - Neural Networks and Artificial Intelligence: Encyclopedia II - Neural network - Characterization In general, a neural network is composed of a group or groups of physically connected or functionally associated neurons. A single neuron can be connected to many other neurons and the total number of neurons and connections in a network can be extremely large. Connections, called synapses are usually formed from axons to dendrites, though dendrodentritic microcircuits [Arbib, p.666] and other connections are possible. Apart from the electrical signalling, there are other forms of signalling that arise from neurotransmitter diffusion, which ...
See also:Neural network, Neural network - Characterization, Neural network - The brain neural networks and computers, Neural network - Neural Networks and Artificial Intelligence, Neural network - Background, Neural network - Learning paradigms, Neural network - Learning algorithms, Neural network - Theoretical properties, Neural network - Generalisation and statistics, Neural network - Types of artificial neural networks, Neural network - Neural networks and Neuroscience, Neural network - Types of models, Neural network - Current research, Neural network - References, Neural network - History of the neural network analogy Read more here: » Neural network: Encyclopedia II - Neural network - Characterization |
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