About: History of artificial neural networks

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The history of artificial neural networks (ANN) began with Warren McCulloch and Walter Pitts (1943) who created a computational model for neural networks based on algorithms called threshold logic. This model paved the way for research to split into two approaches. One approach focused on biological processes while the other focused on the application of neural networks to artificial intelligence. This work led to work on nerve networks and their link to finite automata.

Attributes	Values
rdfs:label	History of artificial neural networks (en)
rdfs:comment	The history of artificial neural networks (ANN) began with Warren McCulloch and Walter Pitts (1943) who created a computational model for neural networks based on algorithms called threshold logic. This model paved the way for research to split into two approaches. One approach focused on biological processes while the other focused on the application of neural networks to artificial intelligence. This work led to work on nerve networks and their link to finite automata. (en)
dcterms:subject	Computational statistics Computational neuroscience Artificial neural networks
Wikipage page ID	61541925 (xsd:integer)
Wikipage revision ID	1121476564 (xsd:integer)
Link from a Wikipage to another Wikipage	David H. Hubel Algorithm Computational statistics Paul Werbos Perceptron Vanishing gradient problem Deep learning International Conference on Document Analysis and Recognition GPU Convolution Analog signal Frank Rosenblatt Generative model Geoffrey Hinton Connectionism Convolutional neural network Very-large-scale integration Andrew Ng MNIST database Machine learning Complex cell Feedforward neural network Neuroplasticity Pattern recognition Principal component Backpropagation Computational neuroscience Torsten Wiesel Walter Pitts Wesley A. Clark Distributed computing Jürgen Schmidhuber Linear classifier Long-term potentiation Simple cell 3D object recognition Exclusive-or Nobel laureate Recurrent neural network Restricted Boltzmann machine High Threshold Logic James McClelland (psychologist) Jeff Dean (computer scientist) Artificial intelligence Artificial neural networks Alex Graves (computer scientist) Latent variable Support vector machine Cognitive model Hidden Markov model Digital data Donald O. Hebb Marvin Minsky CMOS Group method of data handling Metal–oxide–semiconductor Alexey Grigorevich Ivakhnenko Algorithms Merck & Co. Nathaniel Rochester (computer scientist) Seymour Papert YouTube Long short-term memory Neocognitron Expert system Unsupervised learning Rprop Unorganized machine Primary visual cortex Warren McCulloch Parallel distributed processing Finite state machine Hebbian learning David E. Rumelhart ImageNet Competition Complementary MOS Nanodevice Neuromorphic computing
Link from a Wikipage to an external page	https://drive.google.com/file/d/1f0sPHv7ozHafASPwIOfuvF_RvP3FDPY0%7Ctitle=Lecun
sameAs	History of artificial neural networks History of artificial neural networks
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has abstract	The history of artificial neural networks (ANN) began with Warren McCulloch and Walter Pitts (1943) who created a computational model for neural networks based on algorithms called threshold logic. This model paved the way for research to split into two approaches. One approach focused on biological processes while the other focused on the application of neural networks to artificial intelligence. This work led to work on nerve networks and their link to finite automata. (en)
prov:wasDerivedFrom	wikipedia-en:History_of_artificial_neural_networks?oldid=1121476564&ns=0
page length (characters) of wiki page	27556 (xsd:nonNegativeInteger)
foaf:isPrimaryTopicOf	wikipedia-en:History_of_artificial_neural_networks

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