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… (More)
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2016
Highly Cited
2016
Extreme learning machine (ELM) is an emerging learning algorithm for the generalized single hidden layer feedforward neural… (More)
  • figure 1
  • figure 2
  • table I
  • figure 3
  • table II
Is this relevant?
Highly Cited
2011
Highly Cited
2011
0957-4174/$ see front matter 2011 Elsevier Ltd. A doi:10.1016/j.eswa.2011.04.149 ⇑ Corresponding author. Address: Department o… (More)
  • figure 2
  • figure 3
  • figure 4
  • figure 6
  • figure 5
Is this relevant?
2009
2009
The attempts for solving linear inseparable problems have led to different variations on the number of layers of neurons and… (More)
  • figure 1
  • figure 2
  • figure 4
  • figure 5
  • figure 3
Is this relevant?
Highly Cited
2006
Highly Cited
2006
The medical diagnosis by nature is a complex and fuzzy cognitive process, and soft computing methods, such as neural networks… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
Highly Cited
1999
Highly Cited
1999
In this paper, we report our experiments on feature-based facial expression recognition within an architecture based on a two… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
Highly Cited
1992
Highly Cited
1992
A fuzzy neural network model based on the multilayer perceptron, using the backpropagation algorithm, and capable of fuzzy… (More)
Is this relevant?
Highly Cited
1992
Highly Cited
1992
The elements of the Hessian matrix consist of the second derivatives of the error measure with respect to the weights and… (More)
Is this relevant?
Highly Cited
1990
Highly Cited
1990
The problem of selecting the best set of features for target recognition using a multilayer perceptron is addressed in this paper… (More)
  • figure 1
  • figure 2
  • figure 3
  • table 1
  • figure 4
Is this relevant?
Highly Cited
1990
Highly Cited
1990
The multilayer perceptron, when trained as a classifier using backpropagation, is shown to approximate the Bayes optimal… (More)
Is this relevant?
Highly Cited
1988
Highly Cited
1988
Hidden Markov models are widely used for automatic speech recognition. They inherently incorporate the sequential character of… (More)
  • figure 1
Is this relevant?