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- Instantaneously_trained_neural_networks abstract "Instantaneously trained neural networks are feedforward artificial neural networks that create a new hidden neuron node for each novel training sample. The weights to this hidden neuron separate out not only this training sample but others that are near it, thus providing generalization. This training can be done in a variety of ways and the most popular network in this family is called the CC4 network where the separation is done using the nearest hyperplane that can be written down instantaneously. These networks use unary coding for an effective representation of the data sets.Instantaneously trained neural networks have been proposed as models of short term learning and used in web search, and financial time series prediction applications. They have also been used in instant classification of documents and for deep learning and data mining.As in other neural networks, their normal use is as software, but they have also been implemented in hardware using FPGAs and by optical implementation.".
- Instantaneously_trained_neural_networks wikiPageID "470314".
- Instantaneously_trained_neural_networks wikiPageRevisionID "642566031".
- Instantaneously_trained_neural_networks hasPhotoCollection Instantaneously_trained_neural_networks.
- Instantaneously_trained_neural_networks subject Category:Artificial_neural_networks.
- Instantaneously_trained_neural_networks subject Category:Learning.
- Instantaneously_trained_neural_networks subject Category:Machine_learning.
- Instantaneously_trained_neural_networks type Abstraction100002137.
- Instantaneously_trained_neural_networks type Communication100033020.
- Instantaneously_trained_neural_networks type ComputerArchitecture106725249.
- Instantaneously_trained_neural_networks type Description106724763.
- Instantaneously_trained_neural_networks type Message106598915.
- Instantaneously_trained_neural_networks type NeuralNetwork106725467.
- Instantaneously_trained_neural_networks type NeuralNetworks.
- Instantaneously_trained_neural_networks type Specification106725067.
- Instantaneously_trained_neural_networks type Statement106722453.
- Instantaneously_trained_neural_networks comment "Instantaneously trained neural networks are feedforward artificial neural networks that create a new hidden neuron node for each novel training sample. The weights to this hidden neuron separate out not only this training sample but others that are near it, thus providing generalization.".
- Instantaneously_trained_neural_networks label "Instantaneously trained neural networks".
- Instantaneously_trained_neural_networks sameAs m.02dd8z.
- Instantaneously_trained_neural_networks sameAs Q16254383.
- Instantaneously_trained_neural_networks sameAs Q16254383.
- Instantaneously_trained_neural_networks sameAs Instantaneously_trained_neural_networks.
- Instantaneously_trained_neural_networks wasDerivedFrom Instantaneously_trained_neural_networks?oldid=642566031.
- Instantaneously_trained_neural_networks isPrimaryTopicOf Instantaneously_trained_neural_networks.