Results 261 to 270 of about 4,805,610 (298)

Multi-Layer Perceptron Training

1997
This chapter serves as an introduction to the main subject of this book — multi-layer perceptron (MLP) training1. The multi-layer perceptron is the most widely-used class of neural network. Much of the popularity of MLPs is attributable to the fact that they have been applied successfully to a wide range of information processing tasks, including ...
openaire   +1 more source

Geno-mathematical identification of the multi-layer perceptron

Neural Computing and Applications, 2008
In this paper, we will focus on the use of the three-layer backpropagation network in vector-valued time series estimation problems. The neural network provides a framework for noncomplex calculations to solve the estimation problem, yet the search for optimal or even feasible neural networks for stochastic processes is both time consuming and ...
openaire   +2 more sources

Evolutionary Multi-layer Perceptron

2018
This chapter trains Multi-Later Perceptron (MLP) using several optimisation algorithms. A set of test and real-world case studies is employed to compare the proposed evolutionary trainers.
openaire   +1 more source

Multi-layer Perceptrons

2022
Rudolf Kruse, Sanaz Mostaghim, Christian Borgelt, Christian Braune, Matthias Steinbrecher   +4 more
openaire   +1 more source

Multi-layer Perceptron and Pruning

2017
AMulti-Layer Perceptron (MLP) defines a family of artificial neural networksoften used in TS modeling and forecasting. Because of its “black box” aspect,many researchers refuse to use it. Moreover, the optimization (often based onthe exhaustive approach where “all” configurations are tested) and learningphases of this artificial intelligence tool ...
Voyant, Cyril, Paoli, Christophe, Nivet, Marie-Laure, Notton, Gilles, Alexis, Fouilloy, Motte, Fabrice   +5 more
openaire   +2 more sources

A Multi-Layered Perceptron fingerprint idenfication system

2011 Third World Congress on Nature and Biologically Inspired Computing, 2011
In this work a hybrid technique for classification of fingerprint identification has been developed to decrease the matching time of fingerprint queries. For classification a Multi-Layered Perceptron is described and used. Automatic Fingerprint iditification Systems (AFIS) are widely used today, and it is therefore necessary to find a classification ...
openaire   +2 more sources

ECOC and boosting with multi-layer perceptrons

Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004., 2004
Simon Hauger, Terry Windeatt
openaire   +2 more sources

CO2 Corrosion Rate Prediction for Submarine Multiphase Flow Pipelines Based on Multi-Layer Perceptron

Atmosphere, 2022
Wang Changquan
exaly  

Convolutional, Extra-Trees and Multi layer Perceptron

2022 IEEE/ACS 19th International Conference on Computer Systems and Applications (AICCSA), 2022
Abdelkader Berrouachedi, Rakia Jaziri, Gilles Bernard   +2 more
openaire   +2 more sources

Symbolic Representation of a Multi-Layer Perceptron

2001
We propose a Top-Down Inferring algorithm Tdinfer for artificial neural network rule extraction. These rules formalize the decision process of a standard multi-layer network and make its prediction explicit and understandable. They do not involve any weight values and no restrictions are made on the activation values.
openaire   +1 more source