Issues in the Use of Neural Networks in Information Retrieval

  • Iuliana F. Iatan

Part of the Studies in Computational Intelligence book series (SCI, volume 661)

Table of contents

About this book

Introduction

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.

Keywords

Computational Intelligence Information Retrieval Fuzzy Gaussian Neural Network Fuzzy Clifford Gaussian Network Particle Swarm Optimization Method

Authors and affiliations

  • Iuliana F. Iatan
    • 1
  1. 1.Dept. of Mathematics and Computer Sci.Technical University of Civil Eng.BucharestRomania

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-43871-9
  • Copyright Information Springer International Publishing Switzerland 2017
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-43870-2
  • Online ISBN 978-3-319-43871-9
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • About this book