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multilayer perceptron

   Also found in: Acronyms, Wikipedia 0.01 sec.
multilayer perceptron - A network composed of more than one layer of neurons, with some or all of the outputs of each layer connected to one or more of the inputs of another layer. The first layer is called the input layer, the last one is the output layer, and in between there may be one or more hidden layers.


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Brief Review of Different Classifiers 1) Multilayer Perceptron Neural Network The MLPNNs are the most commonly used neuralnetwork architectures since they have features such as the ability to learn and generalize smaller training-set requirements, fast operation, and ease of implementation.
An example of lazy learning is the IBL and an inductive one is the Multilayer Perceptron Artificial Neural Network.
The most commonly used type of neural network in atmospheric sciences is multilayer perceptron (MLP).
 
 
 
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