Original paper
A Pythagorean-Type Fuzzy Deep Denoising Autoencoder for Industrial Accident Early Warning
Volume: 25, Issue: 6, Pages: 1561 - 1575
Published: Aug 10, 2017
Abstract
Early warning is crucial for preventing industrial accidents and mitigating damage, but current methods are often time-consuming, error-prone, and incompetent to deal with uncertainty. This paper presents a fuzzy deep neural network for early warning of industrial accidents, which equips the classical deep denoising autoencoder (DDAE) model with Pythagorean-type fuzzy parameters in order to enhance the model's representation ability and...
Paper Details
Title
A Pythagorean-Type Fuzzy Deep Denoising Autoencoder for Industrial Accident Early Warning
Published Date
Aug 10, 2017
Volume
25
Issue
6
Pages
1561 - 1575