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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 function
Artificial neural network
Artificial neuron
Autoencoder
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2010
2010
Classification of Infant Cries with Asphyxia Using Multilayer Perceptron Neural Network
A. Zabidi
,
L. Khuan
,
W. Mansor
,
I. Yassin
,
R. Sahak
Second International Conference on Computer…
2010
Corpus ID: 16907595
Asphyxia occurs in infants with neurological level disturbance, which is found to affect sound of cry produced by infants. The…
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2006
2006
Evolutionary training of hardware realizable multilayer perceptrons
V. Plagianakos
,
G. D. Magoulas
,
M. N. Vrahatis
Neural computing & applications (Print)
2006
Corpus ID: 3998953
The use of multilayer perceptrons (MLP) with threshold functions (binary step function activations) greatly reduces the…
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2006
2006
Large piezoelectric strains from polarization graded ferroelectrics
S. Zhong
,
Z. Ban
,
S. Alpay
,
J. Mantese
2006
Corpus ID: 122551532
The potential applications of polarization graded ferroelectrics as high performance sensors and actuators are theoretically…
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2003
2003
Pedestrian Detection and Classification by Laserscanners
K. Fuerstenberg
2003
Corpus ID: 14664917
Pedestrian protection systems will become an essential safety function in future vehicles as the government will force automotive…
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2001
2001
Entropy minimization algorithm for multilayer perceptrons
Deniz Erdoğmuş
,
J. Príncipe
IJCNN'01. International Joint Conference on…
2001
Corpus ID: 544009
We (2000) have previously proposed the use of quadratic Renyi's error entropy with a Parzen density estimator with Gaussian…
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2000
2000
Fuzzy and Crisp Logical Rule Extraction Methods in Application to Medical Data
Wlodzislaw Duch
,
R. Adamczak
,
Krzysztof Grąbczewski
,
Grzegorz Zal
,
Y. Hayashi
2000
Corpus ID: 17956056
A comprehensive methodology of extraction of optimal sets of logical rules using neural networks and global minimization…
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2000
2000
Confidence measures for dialogue management in the CU Communicator system
R. San-Segundo
,
B. Pellom
,
W. Ward
,
J. M. Pardo
IEEE International Conference on Acoustics…
2000
Corpus ID: 2163483
This paper provides improved confidence assessment for detection of word-level speech recognition errors and out-of-domain user…
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1995
1995
FUZZY NEURAL NETWORKS ARE UNIVERSAL APPROXIMATORS
T. Feuring
,
W. Lippe
1995
Corpus ID: 115760782
In this paper we examine the capacity of fuzzy neural networks. These networks are multilayer feedforword nets whose processing…
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1995
1995
Multilayer perceptron training with inaccurate derivative information
J. Lampinen
,
Arto Selonen
International Conference on Neural Networks
1995
Corpus ID: 1329831
Presents an algorithm for using possibly inaccurate knowledge of model derivatives as a part of the training data for a…
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1976
1976
Iron–germanium multilayer neutron polarizing monochromators
J. Lynn
,
J. Kjems
,
Laurence Passell
,
A. Saxena
,
B. Schoenborn
1976
Corpus ID: 39764238
A new type of thermal neutron polarizing monochromator, consisting of alternate thin layers of iron and germanium, has been…
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