“neural network”的概念、定义、翻译、参考文献-科学参考

neural network

Physics

A network of processors designed to mimic the transmission of impulses in the human brain. Neural networks are either electronic constructions or, often, computer-simulated structures. Each processor (‘neurone’) multiplies its input signal by a weighting factor and the final output signal depends on these factors, which can be adjusted. Such networks can be ‘taught’ to recognize patterns in large amounts of data. They are used in research into artificial intelligence and have also been applied in predicting financial market trends.

Computer

A form of computation inspired by the structure and function of the brain. One version of this is as follows. The topology is a weighted directed graph. Nodes in the graph can be on or off. Time is discrete. At each time instant all the on nodes send an impulse along their outgoing arcs to their neighbour nodes. All nodes sum their incoming impulses, weighted according to the arc. All the nodes at which this sum exceeds a threshold turn on at the next time instant; all the others turn off. Computation proceeds by setting some input nodes, waiting for the network to reach a steady state, and then reading some output nodes. Nodes can be trained, using examples, to recognize certain patterns, for instance to classify objects by features. See also back propagation, connectionism, perceptron.

Electronics and Electrical Engineering

1. A modelling technique based on the observed structure and function of biological neurons and used to implement machine-learning as part of a computer system.
2. An electronic network simulating this.

Biology

See neuronal network.

Geography

An artificial neural network (ANN) is a way of processing information that is inspired by the way biological nervous systems such as the brain process information. It is made up of a large number of highly interconnected processing elements (neurones) working together to solve specific problems, such as pattern recognition or data classification. Like people, ANNs learn by example, adjusting the connections that exist between the neurones. ‘Neural networks, with their remarkable ability to derive meaning from complicated or imprecise data, can be used to extract patterns and detect trends that are too complex to be noticed by either humans or other computer techniques.’ This quote is from Christos Stergiou and Dimitrios Siganos, ‘What is a Neural Network’, Imperial College.
http://www3.imperial.ac.uk/computing/ Imperial College computing website.

单词	neural network
释义	neural network Physics A network of processors designed to mimic the transmission of impulses in the human brain. Neural networks are either electronic constructions or, often, computer-simulated structures. Each processor (‘neurone’) multiplies its input signal by a weighting factor and the final output signal depends on these factors, which can be adjusted. Such networks can be ‘taught’ to recognize patterns in large amounts of data. They are used in research into artificial intelligence and have also been applied in predicting financial market trends. Computer A form of computation inspired by the structure and function of the brain. One version of this is as follows. The topology is a weighted directed graph. Nodes in the graph can be on or off. Time is discrete. At each time instant all the on nodes send an impulse along their outgoing arcs to their neighbour nodes. All nodes sum their incoming impulses, weighted according to the arc. All the nodes at which this sum exceeds a threshold turn on at the next time instant; all the others turn off. Computation proceeds by setting some input nodes, waiting for the network to reach a steady state, and then reading some output nodes. Nodes can be trained, using examples, to recognize certain patterns, for instance to classify objects by features. See also back propagation, connectionism, perceptron. Electronics and Electrical Engineering 1. A modelling technique based on the observed structure and function of biological neurons and used to implement machine-learning as part of a computer system. 2. An electronic network simulating this. Biology See neuronal network. Geography An artificial neural network (ANN) is a way of processing information that is inspired by the way biological nervous systems such as the brain process information. It is made up of a large number of highly interconnected processing elements (neurones) working together to solve specific problems, such as pattern recognition or data classification. Like people, ANNs learn by example, adjusting the connections that exist between the neurones. ‘Neural networks, with their remarkable ability to derive meaning from complicated or imprecise data, can be used to extract patterns and detect trends that are too complex to be noticed by either humans or other computer techniques.’ This quote is from Christos Stergiou and Dimitrios Siganos, ‘What is a Neural Network’, Imperial College. http://www3.imperial.ac.uk/computing/ Imperial College computing website.
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