Issues in the use of neural networks in information retrieval

• Main Author: Iatan, Iuliana F. (Author)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer, [2017]
• Series: Studies in computational intelligence ; v. 661.
• Subjects: Neural networks (Computer science); Information retrieval.; elektronické knihy; electronic books
• ISBN: 9783319438719; 9783319438702
• ISSN: 1860-949X ;
• Physical Description: 1 online resource (xix, 199 pages) : illustrations (some color)
• Access: Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty

This book highlights the ability of neural networks (NNs) to be excellent pattern matchers and their importance in information retrieval (IR), which is based on index term matching. The book defines a new NN-based method for learning image similarity and describes how to use fuzzy Gaussian neural networks to predict personality. It introduces the fuzzy Clifford Gaussian network, and two concurrent neural models: (1) concurrent fuzzy nonlinear perceptron modules, and (2) concurrent fuzzy Gaussian neural network modules. Furthermore, it explains the design of a new model of fuzzy nonlinear perceptron based on alpha level sets and describes a recurrent fuzzy neural network model with a learning algorithm based on the improved particle swarm optimization method.