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Adaptive resonance theory information


Adaptive resonance theory (ART) is a theory developed by Stephen Grossberg and Gail Carpenter on aspects of how the brain processes information. It describes a number of artificial neural network models which use supervised and unsupervised learning methods, and address problems such as pattern recognition and prediction.

The primary intuition behind the ART model is that object identification and recognition generally occur as a result of the interaction of 'top-down' observer expectations with 'bottom-up' sensory information. The model postulates that 'top-down' expectations take the form of a memory template or prototype that is then compared with the actual features of an object as detected by the senses. This comparison gives rise to a measure of category belongingness. As long as this difference between sensation and expectation does not exceed a set threshold called the 'vigilance parameter', the sensed object will be considered a member of the expected class. The system thus offers a solution to the 'plasticity/stability' problem, i.e. the problem of acquiring new knowledge without disrupting existing knowledge that is also called incremental learning.

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Adaptive resonance theory

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Adaptive resonance theory (ART) is a theory developed by Stephen Grossberg and Gail Carpenter on aspects of how the brain processes information. It describes...

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Fusion adaptive resonance theory

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Fusion adaptive resonance theory (fusion ART) is a generalization of self-organizing neural networks known as the original Adaptive Resonance Theory models...

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Gail Carpenter

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for her seminal work on developing the adaptive resonance theory architectures (ART 1, ART 2, ART 3) for adaptive pattern recognition. https://www.ancestry...

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Stephen Grossberg

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introduced by Grossberg in 1976 into Adaptive Resonance Theory and Self-Organizing Maps for the learning of adaptive filters in these models. This learning...

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Unsupervised learning

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Among neural network models, the self-organizing map (SOM) and adaptive resonance theory (ART) are commonly used in unsupervised learning algorithms. The...

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ART

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performing in the virtual world Adaptive resonance theory, a theory of brain information processing Acoustic resonance technology, an acoustic inspection...

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Learning rule

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- Learning Vector Quantisation, Self-Organising Feature Map, Adaptive Resonance Theory Stochastic - Boltzmann Machine, Cauchy Machine It is to be noted...

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Outline of machine learning

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Activation function Activity recognition ADALINE Adaptive neuro fuzzy inference system Adaptive resonance theory Additive smoothing Adjusted mutual information...

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Cognitive neuroscience

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psychology, anatomy, and clinical practice. Adaptive resonance theory (ART) is a cognitive neuroscience theory developed by Gail Carpenter and Stephen Grossberg...

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Online machine learning

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Streaming algorithm Stochastic gradient descent Learning models Adaptive Resonance Theory Hierarchical temporal memory k-nearest neighbor algorithm Learning...

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Pattern recognition

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(MEMMs) Recurrent neural networks (RNNs) Dynamic time warping (DTW) Adaptive resonance theory Black box Cache language model Compound-term processing Computer-aided...

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SPECfp

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Neural Networks Recognizes objects in a thermal images using The Adaptive Resonance Theory 2 (ART 2) neural network. 183.equake C Seismic Wave Propagation...

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Natural resonance theory

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In computational chemistry, natural resonance theory (NRT) is an iterative, variational functional embedded into the natural bond orbital (NBO) program...

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Types of artificial neural networks

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of the overall system, to be determined by cross validation. Adaptive resonance theory Artificial life Autoassociative memory Autoencoder Biologically...

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Magnetic resonance imaging

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Magnetic resonance imaging (MRI) is a medical imaging technique used in radiology to form pictures of the anatomy and the physiological processes inside...

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Cultivation theory

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Cultivation theory is a sociological and communications framework designed to unravel the enduring impacts of media consumption, with a primary focus on...

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List of neuroscientists

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the IEEE Neural Networks Pioneer Award for the development of adaptive resonance theory (ART) family of neural networks. Ben Carson 1951– United States...

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Encog

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been in active development since 2008. ADALINE Neural Network Adaptive Resonance Theory 1 (ART1) Bidirectional Associative Memory (BAM) Boltzmann Machine...

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Orbital hybridisation

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which implies resonance in valence bond theory. For example, in methane, the ionised states (CH4+) can be constructed out of four resonance structures attributing...

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Massimiliano Versace

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brain circuits of increasing complexity. His Synchronous Matching Adaptive Resonance Theory (SMART) model shows spiking laminar cortical circuits self-organize...

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List of dynamical systems and differential equations topics

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Spontaneous symmetry breaking Turbulence Perturbation theory Control theory Non-linear control Adaptive control Hierarchical control Intelligent control Optimal...

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Donald Wunsch

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coauthor of: Lei Meng, Ah-Hwee Tan, and Donald C. Wunsch II, Adaptive Resonance Theory in Social Media Data Clustering, Springer-Verlag, 2019. ISBN 9783030029852...

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List of people with surname Carpenter

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1948), a cognitive scientist, neuroscientist, mathematician and adaptive resonance theory pioneer Geoffrey Douglas Hale Carpenter (1882–1953), British entomologist...

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Covalent bond

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orbitals (molecular orbital theory) or form conjugate π bonds in two resonance structures that linearly combine (valence bond theory), creating a regular hexagon...

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