Issues in the Use of Neural Networks in Information Retrieval

Iuliana F. Iatan (Autor)

Buch | Softcover

XIX, 199 Seiten

2018 | Softcover reprint of the original 1st ed. 2017
Springer International Publishing (Verlag)
978-3-319-82930-2 (ISBN)

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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.

Mathematical Aspects of Using Neural Approaches for InformationRetrieval.- 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

Erscheinungsdatum	05.03.2022
Reihe/Serie	Studies in Computational Intelligence
Zusatzinfo	XIX, 199 p. 88 illus., 44 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	343 g
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Mathematik / Informatik ► Mathematik ► Angewandte Mathematik
	Technik
Schlagworte	Computational Intelligence • Fuzzy Clifford Gaussian Network • Fuzzy Gaussian Neural Network • Information Retrieval • Particle Swarm Optimization Method
ISBN-10	3-319-82930-0 / 3319829300
ISBN-13	978-3-319-82930-2 / 9783319829302
Zustand	Neuware