Design of Feedforward Neural Networks in the Classification of Hyperspectral Imagery Using Superstructural Optimization

Design of Feedforward Neural Networks in the Classification of Hyperspectral Imagery Using Superstructural Optimization

Artificial Neural Networks (ANNs) have been used in a wide range of applications for complex datasets with their flexible mathematical architecture. The flexibility is favored by the introduction of a higher number of connections and variables, in general. However, over-parameterization of the ANN e...

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Bibliographic Details
Main Authors: Hasan Sildir, Erdal Aydin, Taskin Kavzoglu
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Remote Sensing
Subjects:
artificial neural networks
classification
superstructure optimization
mixed-inter nonlinear programming
hyperspectral images
Online Access:https://www.mdpi.com/2072-4292/12/6/956

Internet

https://www.mdpi.com/2072-4292/12/6/956

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