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What is Multi-Layer Perceptron (MLP)

Chapter 26
Encyclopedia of Information Science and Technology, Third Edition
An artificial neural network model with feed forward architecture that maps sets of input data onto a set of desired outputs iteratively, through the process of learning. A MLP consists of an input layer of neurons, one or more hidden layers of neurons and an output layer of neurons, where each layer is fully connected to the next layer.
Published in Chapter:
Stochastic Neural Network Classifiers
Eitan Gross (University of Arkansas, USA)
Copyright: © 2015 |Pages: 10
DOI: 10.4018/978-1-4666-5888-2.ch026
Full Text Chapter Download: US $37.50 Add to Cart
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Chapter 223
A Survey on Neural Networks in Automated Negotiations
A fully connected feedforward NN with at least one hidden layer that is trained using back-propagation algorithmic techniques.
Published in Chapter: A Survey on Neural Networks in Automated Negotiations; From: Encyclopedia of Artificial Intelligence
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Chapter 231
A 2D Positioning Application in PET Using ANNs
A kind of feed-forward neural network which has at least one hidden layer of neurons.
Published in Chapter: A 2D Positioning Application in PET Using ANNs; From: Encyclopedia of Artificial Intelligence
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Chapter 27
The Bees Algorithm as a Biologically Inspired Optimisation Method
Arguably the most popular artificial neural network model. It is usually composed by three or four layers of units. Each unit is fully connected to the units of the previous layer. Learning is customarily performed via the backpropagation rule.
Published in Chapter: The Bees Algorithm as a Biologically Inspired Optimisation Method; From: Encyclopedia of Information Science and Technology, Third Edition
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 208
Shortening Automated Negotiation Threads via Neural Nets
A fully connected feedforward NN with at least one hidden layer that is trained using back-propagation algorithmic techniques.
Published in Chapter: Shortening Automated Negotiation Threads via Neural Nets; From: Encyclopedia of Artificial Intelligence
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 4
Study and Application of Machine Learning Methods in Modern Additive Manufacturing Processes
Multi-layer perceptron is also known as a feed forward neural network. It contains of three categories of layers, i.e., 1) the input layer, 2) the output layer, and 3) the hidden layer. Generally, the input layer collects the input signal to be managed.
Published in Chapter: Study and Application of Machine Learning Methods in Modern Additive Manufacturing Processes; From: Applications of Artificial Intelligence in Additive Manufacturing
Full Text Chapter Download: US $37.50 Add to Cart
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