logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Issues In The Use Of Neural Networks In Information Retrieval 1st Edition Iuliana F Iatan Auth

  • SKU: BELL-5675486
Issues In The Use Of Neural Networks In Information Retrieval 1st Edition Iuliana F Iatan Auth
$ 31.00 $ 45.00 (-31%)

4.3

48 reviews

Issues In The Use Of Neural Networks In Information Retrieval 1st Edition Iuliana F Iatan Auth instant download after payment.

Publisher: Springer International Publishing
File Extension: PDF
File size: 7.38 MB
Pages: 213
Author: Iuliana F. Iatan (auth.)
ISBN: 9783319438702, 9783319438719, 3319438700, 3319438719
Language: English
Year: 2017
Edition: 1

Product desciption

Issues In The Use Of Neural Networks In Information Retrieval 1st Edition Iuliana F Iatan Auth by Iuliana F. Iatan (auth.) 9783319438702, 9783319438719, 3319438700, 3319438719 instant download after payment.

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.

Related Products