Issues in the use of neural networks in information retrieval

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 ne...

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Bibliographic Details
Main Author: Iatan, Iuliana F., (Author)
Format: 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
Physical Description: 1 online resource (xix, 199 pages) : illustrations (some color)

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100 1 |a Iatan, Iuliana F.,  |e author. 
245 1 0 |a Issues in the use of neural networks in information retrieval /  |c Iuliana F. Iatan. 
264 1 |a Cham :  |b Springer,  |c [2017] 
300 |a 1 online resource (xix, 199 pages) :  |b illustrations (some color) 
336 |a text  |b txt  |2 rdacontent 
337 |a počítač  |b c  |2 rdamedia 
338 |a online zdroj  |b cr  |2 rdacarrier 
490 1 |a Studies in computational intelligence,  |x 1860-949X ;  |v volume 661 
505 0 |a Mathematical Aspects of Using Neural Approaches for Information Retrieval -- A Fuzzy Kwan- Cai Neural Network for Determining Image Similarity and for the Face Recognition -- Predicting Human Personality from Social Media using a Fuzzy Neural Network -- Modern Neural Methods for Function Approximation -- A Fuzzy Gaussian Clifford Neural Network -- Concurrent Fuzzy Neural Networks -- A New Interval Arithmetic Based Neural Network -- A Recurrent Neural Fuzzy Network. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a 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. 
590 |a SpringerLink  |b Springer Complete eBooks 
650 0 |a Neural networks (Computer science) 
650 0 |a Information retrieval. 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
776 0 8 |i Printed edition:  |z 9783319438702 
830 0 |a Studies in computational intelligence ;  |v v. 661.  |x 1860-949X 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://link.springer.com/10.1007/978-3-319-43871-9  |y Plný text 
992 |c NTK-SpringerENG 
999 |c 99430  |d 99430 
993 |x NEPOSILAT  |y EIZ 

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