The Multilayer Perceptron (MLP)

Ekaba Bisong

doi:10.1007/978-1-4842-4470-8_31

ScienceGate Book Chapters

BOOK-CHAPTER

The Multilayer Perceptron (MLP)

Ekaba Bisong

Year: 2019 Apress eBooks Pages: 401-405

DOI: 10.1007/978-1-4842-4470-8_31

Get Full-Text PDF Get Analytical Report

Abstract

The multilayer perceptron (MLP) is the fundamental example of a deep neural network. The architecture of a MLP consists of multiple hidden layers to capture more complex relationships that exist in the training dataset. Another name for the MLP is the deep feedforward neural network (DFN). An illustration of an MLP is shown in Figure 31-1.

Keywords:

Multilayer perceptron Computer science Artificial neural network Artificial intelligence Feed forward Pattern recognition (psychology) Feedforward neural network Perceptron Engineering Control engineering

Metrics

Cited By

1.06

FWCI (Field Weighted Citation Impact)

Refs

0.81

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Neural Networks and Applications

Physical Sciences → Computer Science → Artificial Intelligence

The Multilayer Perceptron (MLP)

Abstract

Metrics

Citation History

Topics

Related Documents

Multilayer Perceptron (MLP)

Multilayer Perceptron (MLP) Neural Networks

Mongolian character recognition using multilayer perceptron (MLP)

Multilayer Perceptron (MLP) for Regression and Classification

Manuscript Rainfall Prediction using Multilayer Perceptron (MLP)