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What is Perceptron/Multilayer Perceptron

Chapter 132
Encyclopedia of Information Science and Technology, Fifth Edition
Perceptron was an early name for a single processing element, now more commonly called a neuron or neurode. Multilayer perceptrons (MLP) are arrangements of perceptrons into layers, such as the input layer connected to a hidden layer which is then connected to an output layer. The abbreviation MLP is often used to refer to backpropagation trained supervised learning ANNs with at least one hidden layer.
Published in Chapter:
Artificial Neural Networks in Medicine: Recent Advances
Steven Walczak (University of South Florida, USA)
Copyright: © 2021 |Pages: 18
DOI: 10.4018/978-1-7998-3479-3.ch132
Abstract
Artificial neural networks (ANNs) have proven to be efficacious for modeling decision problems in medicine, including diagnosis, prognosis, resource allocation, and cost reduction problems. Research using ANNs to solve medical domain problems has been increasing regularly and is continuing to grow dramatically. This chapter examines recent trends and advances in ANNs and provides references to a large portion of recent research, as well as looking at the future direction of research for ANN in medicine.
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