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10 relations: Artificial neural network, Association (psychology), Cerebellum, Deep learning, Hash function, James S. Albus, Machine learning, Memory, Recursive least squares filter, Reinforcement learning.
Artificial neural network
Artificial neural networks (ANNs) or connectionist systems are computing systems vaguely inspired by the biological neural networks that constitute animal brains.
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Association (psychology)
Association in psychology refers to a mental connection between concepts, events, or mental states that usually stems from specific experiences.
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Cerebellum
The cerebellum (Latin for "little brain") is a major feature of the hindbrain of all vertebrates.
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Deep learning
Deep learning (also known as deep structured learning or hierarchical learning) is part of a broader family of machine learning methods based on learning data representations, as opposed to task-specific algorithms.
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Hash function
A hash function is any function that can be used to map data of arbitrary size to data of a fixed size.
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James S. Albus
James Sacra Albus (May 4, 1935 – April 17, 2011) was an American engineer, Senior NIST Fellow and founder and former chief of the Intelligent Systems Division of the Manufacturing Engineering Laboratory at the National Institute of Standards and Technology (NIST).
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Machine learning
Machine learning is a subset of artificial intelligence in the field of computer science that often uses statistical techniques to give computers the ability to "learn" (i.e., progressively improve performance on a specific task) with data, without being explicitly programmed.
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Memory
Memory is the faculty of the mind by which information is encoded, stored, and retrieved.
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Recursive least squares filter
Recursive least squares (RLS) is an adaptive filter algorithm that recursively finds the coefficients that minimize a weighted linear least squares cost function relating to the input signals.
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Reinforcement learning
Reinforcement learning (RL) is an area of machine learning inspired by behaviourist psychology, concerned with how software agents ought to take actions in an environment so as to maximize some notion of cumulative reward.
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Cerebellar Model Arithmetic Computer, Cerebellar Model Articulation Controller.
References
[1] https://en.wikipedia.org/wiki/Cerebellar_model_articulation_controller
