publication . Part of book or chapter of book . 2003

Intelligent search for distributed information sources using heterogeneous neural networks

Hui Yang; Minjie Zhang;
Open Access English
  • Published: 01 Jan 2003
  • Publisher: Springer
Abstract
As the number and diversity of distributed information sources on the Internet exponentially increase, various search services are developed to help the users to locate relevant information. But they still exist some drawbacks such as the difficulty of mathematically modeling retrieval process, the lack of adaptivity and the indiscrimination of search. This paper shows how heteroge-neous neural networks can be used in the design of an intelligent distributed in-formation retrieval (DIR) system. In particular, three typical neural network models - Kohoren's SOFM Network, Hopfield Network, and Feed Forward Network with Back Propagation algorithm are introduced to ...
Subjects
free text keywords: Distributed database, Computer science, Data mining, computer.software_genre, computer, The Internet, business.industry, business, Artificial neural network, Distributed computing, Back propagation algorithm, Hopfield network, Information system, Backpropagation, Feed forward network
Related Organizations
Funded by
ARC| Developing optimal synthesis strategies in distributed expert systems.
Project
  • Funder: Australian Research Council (ARC) (ARC)
  • Project Code: DP0211282
  • Funding stream: Discovery Projects
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