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Issues in the use of neural networks in information retrieval / Iuliana F. Iatan.

Iatan, Iuliana F., author.
2017
QA76.87
Available Online
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Title
Issues in the use of neural networks in information retrieval / Iuliana F. Iatan.
Author
Iatan, Iuliana F., author.
ISBN
9783319438719 (electronic book)
3319438719 (electronic book)
9783319438702
DOI
https://doi.org/10.1007/978-3-319-43871-9
Published
Cham : Springer, [2017]
Language
English
Description
1 online resource (xix, 199 pages) : illustrations.
Item Number
10.1007/978-3-319-43871-9 doi
Call Number
QA76.87
Dewey Decimal Classification
006.3/2
Summary
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.
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Access limited to authorized users.
Digital File Characteristics
text file PDF
Source of Description
Online resource; title from title details screen (SpringerLink, viewed October 10, 2016).
Series
Studies in computational intelligence ; v. 661.
Available in Other Form
Print version: 9783319438702
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All Resources
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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.

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