A computer architecture, implementable in either hardware or software, modeled after biological neural networks. Like the biological system in which the processing capability is a result of the interconnection strengths between arrays of nonlinear processing nodes, computerized neural networks, often called perceptrons or multilayer connectionist models, consist of neuron-like units. A homogeneous group of units makes up a layer. These networks are good at pattern recognition. They are adaptive, performing tasks by example, and thus are better for decision-making than are linear learning machines or cluster analysis. They do not require explicit programming.

推出的年份: 2020(1992)

树号: G17.485, L01.224.050.375.605

MeSH 单一 ID: D016571

• Computer Neural Network
• Computer Neural Networks
• Network, Computer Neural
• Networks, Computer Neural
• Neural Network, Computer
• Models, Neural Network
• Model, Neural Network
• Network Model, Neural
• Network Models, Neural
• Neural Network Model
• Neural Network Models
• Computational Neural Networks
• Computational Neural Network
• Network, Computational Neural
• Networks, Computational Neural
• Neural Network, Computational
• Neural Networks, Computational
• Perceptrons
• Perceptron
• Connectionist Models
• Connectionist Model
• Model, Connectionist
• Models, Connectionist
• Neural Networks (Computer)
• Network, Neural (Computer)
• Networks, Neural (Computer)
• Neural Network (Computer)

• Artificial Intelligence (1987-1991)
• Computer Simulation (1987-1991)
• Image Processing, Computer-Assisted (1990-1991)