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Multilayer perceptron

Known as: Multi-layer perceptron, Multi-layer perceptrons 
A multilayer perceptron (MLP) is a feedforward artificial neural network model that maps sets of input data onto a set of appropriate outputs. An MLP… 
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Related topics

Related topics

39 relations
Activation functionArtificial neural networkArtificial neuronAutoencoder

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2018
Highly Cited
2018
An efficient hybrid multilayer perceptron neural network with grasshopper optimization
This paper proposes a new hybrid stochastic training algorithm using the recently proposed grasshopper optimization algorithm… 
Highly Cited
2018
Highly Cited
2018
Real-time prediction of online shoppers’ purchasing intention using multilayer perceptron and LSTM recurrent neural networks
In this paper, we propose a real-time online shopper behavior analysis system consisting of two modules which simultaneously… 
Review
2012
Review
2012
Thermal properties of graphene and multilayer graphene: Applications in thermal interface materials
Highly Cited
2011
Highly Cited
2011
Behaviour Analysis of Multilayer Perceptrons with Multiple Hidden Neurons and Hidden Layers
The terms "Neural Network" (NN) and "Artificial Neural Network" (ANN) usually refer to a Multilayer Perceptron Network. It… 
Highly Cited
2007
Highly Cited
2007
Modelling the Differential Pressure at Sieves with Artificial Neural Networks (Multilayer Perceptron) - a Contribution to Reactor Safety Research
In this contribution we describe the modelling of the differential pressure behavior of isolation materials at a sieve by… 
Highly Cited
2005
Highly Cited
2005
Recent Developments in Multilayer Perceptron Neural Networks
Several neural network architectures have been developed over the past several years. One of the most popular and most powerful… 
Highly Cited
1995
Highly Cited
1995
Bayesian Learning for Neural Networks
Artificial "neural networks" are widely used as flexible models for classification and regression applications, but questions… 
Highly Cited
1994
Highly Cited
1994
Advanced supervised learning in multi-layer perceptrons — From backpropagation to adaptive learning algorithms
Highly Cited
1990
Highly Cited
1990
Links Between Markov Models and Multilayer Perceptrons
The statistical use of a particular classic form of a connectionist system, the multilayer perceptron (MLP), is described in the… 
Highly Cited
1988
Highly Cited
1988
Training Multilayer Perceptrons with the Extende Kalman Algorithm
A large fraction of recent work in artificial neural nets uses multilayer perceptrons trained with the back-propagation algorithm… 
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