A Particle Swarm Optimization-Based Flexible Convolutional Autoencoder for Image Classification

• Published in: IEEE transaction on neural networks and learning systems Vol. 30; no. 8; pp. 2295 - 2309
• Main Authors: Sun, Yanan, Xue, Bing, Zhang, Mengjie, Yen, Gary G.
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.08.2019; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Artificial neural networks; Classification; Computer applications; Computer architecture; Convolution; Convolutional autoencoder (CAE); Convolutional codes; deep learning; Image classification; Neural networks; Optimization; Particle swarm optimization; particle swarm optimization (PSO); Stacking

Convolutional autoencoders (CAEs) have shown their remarkable performance in stacking to deep convolutional neural networks (CNNs) for classifying image data during the past several years. However, they are unable to construct the state-of-the-art CNNs due to their intrinsic architectures. In this r...