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- Counterpropagation_network abstract "The counterpropagation network is a hybrid network. It consists of an outstar network and a competitive filter network. It was developed in 1986 by Robert Hecht-Nielsen. It is guaranteed to find the correct weights, unlike regular back propagation networks that can become trapped in local minimums during training.The input layer neurode connect to each neurode in the hidden layer. The hidden layer is a Kohonen network which categorizes the pattern that was input. The output layer is an outstar array which reproduces the correct output pattern for the category.Training is done in two stages. The hidden layer is first taught to categorize the patterns and the weights are then fixed for that layer. Then the output layer is trained. Each pattern that will be input needs a unique node in the hidden layer, which is often too large to work on real world problems.".
- Counterpropagation_network wikiPageID "27437305".
- Counterpropagation_network wikiPageRevisionID "601837047".
- Counterpropagation_network hasPhotoCollection Counterpropagation_network.
- Counterpropagation_network subject Category:Neural_networks.
- Counterpropagation_network type Abstraction100002137.
- Counterpropagation_network type Communication100033020.
- Counterpropagation_network type ComputerArchitecture106725249.
- Counterpropagation_network type Description106724763.
- Counterpropagation_network type Message106598915.
- Counterpropagation_network type NeuralNetwork106725467.
- Counterpropagation_network type NeuralNetworks.
- Counterpropagation_network type Specification106725067.
- Counterpropagation_network type Statement106722453.
- Counterpropagation_network comment "The counterpropagation network is a hybrid network. It consists of an outstar network and a competitive filter network. It was developed in 1986 by Robert Hecht-Nielsen. It is guaranteed to find the correct weights, unlike regular back propagation networks that can become trapped in local minimums during training.The input layer neurode connect to each neurode in the hidden layer. The hidden layer is a Kohonen network which categorizes the pattern that was input.".
- Counterpropagation_network label "Counterpropagation network".
- Counterpropagation_network sameAs m.0b__mq9.
- Counterpropagation_network sameAs Q5177023.
- Counterpropagation_network sameAs Q5177023.
- Counterpropagation_network sameAs Counterpropagation_network.
- Counterpropagation_network wasDerivedFrom Counterpropagation_network?oldid=601837047.
- Counterpropagation_network isPrimaryTopicOf Counterpropagation_network.