neural net theory
1Neural network — For other uses, see Neural network (disambiguation). Simplified view of a feedforward artificial neural network The term neural network was traditionally used to refer to a network or circuit of biological neurons.[1] The modern usage of the term …
2NET — or Net may refer to: Net (device), fibers woven in a grid like structure Net (textile), any textile in which the warp and weft yarns are looped or knotted at their intersections New Jersey Nets, a basketball team The Net (1995 film), a film… …
3Neural correlates of consciousness — The Neuronal Correlates of Consciousness (NCC) constitute the smallest set of neural events and structures sufficient for a given conscious percept or explicit memory. This case involves synchronized action potentials in neocortical pyramidal… …
4Neural correlate — A neural correlate of a content of experience is any bodily component, such as an electro neuro biological state or the state assumed by some biophysical subsystem of the brain, whose presence necessarily and regularly correlates with such a… …
5Theory of multiple intelligences — Human intelligence Abilities and Traits Abstract thought Communication · Creativity Emotional Intelligence Kn …
6Theory of cognitive development — The Theory of Cognitive Development (one of the most historically influential theories) was developed by Jean Piaget, a Swiss Philosopher (1896–1980). His genetic epistemological theory provided many central concepts in the field of developmental …
7automata theory — Body of physical and logical principles underlying the operation of any electromechanical device (an automaton) that converts information input in one form into another, or into some action, according to an algorithm. Norbert Wiener and Alan M.… …
8Info-gap decision theory — is a non probabilistic decision theory that seeks to optimize robustness to failure – or opportuneness for windfall – under severe uncertainty,[1][2] in particular applying sensitivity analysis of the stability radius type[3] to perturbations in… …
9Recurrent neural network — A recurrent neural network (RNN) is a class of neural network where connections between units form a directed cycle. This creates an internal state of the network which allows it to exhibit dynamic temporal behavior.Recurrent neural networks must …
10Artificial neural network — An artificial neural network (ANN), usually called neural network (NN), is a mathematical model or computational model that is inspired by the structure and/or functional aspects of biological neural networks. A neural network consists of an… …
