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Titlebook: Artificial Intelligence Applications and Innovations; IFIP 18th World Comp Max Bramer,Vladan Devedzic Conference proceedings 2004 IFIP Inte

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51#
發(fā)表于 2025-3-30 08:31:35 | 只看該作者
52#
發(fā)表于 2025-3-30 13:20:50 | 只看該作者
53#
發(fā)表于 2025-3-30 17:52:04 | 只看該作者
On-Line Extraction of Fuzzy rules in a Wastewater Treatment Plantented and, despite the complexity, non-linear characteristics and time-varying dynamics of the process, the results show that the eTS fuzzy models are computationally very efficient and have practical relevance.
54#
發(fā)表于 2025-3-30 22:30:43 | 只看該作者
A Pervasive Identification and Adaptation System for the Smart Houserough the definition of all the tasks for the house; at this point, the agents and their relationships are defined, in order to properly execute the tasks. This system uses a pervasive human footstep sensor capable of recognizing the inhabitants of the house, through their weights and the characteri
55#
發(fā)表于 2025-3-31 01:16:21 | 只看該作者
Conference proceedings 2004s of demonstrable value. The conference focused on profitable intelligent systems and technologies....AIAI focuses on real world applications; therefore authors should highlight the benefits of AI technology for industry and services. Novel approaches solving business and industrial problems, using AI, will emerge from this conference. .
56#
發(fā)表于 2025-3-31 05:20:48 | 只看該作者
Persistence and the Data Portal,This paper deals with the application of multiagent self-organization techniques for giving adaptive features to distributed embedded systems evolving in agressive environments. Interesting results are presented, showing how functionnal integrity maintenance of artificial complex systems can take advantage of a collective decentralized approach.
57#
發(fā)表于 2025-3-31 10:36:07 | 只看該作者
58#
發(fā)表于 2025-3-31 14:41:26 | 只看該作者
59#
發(fā)表于 2025-3-31 18:23:47 | 只看該作者
60#
發(fā)表于 2025-3-31 21:41:51 | 只看該作者
Using the CSLA .NET Base Classes,rtificial Intelligence systems is well known. Similarly, the AI literature is replete with papers on neural networks. However, there is relatively little research in which the theories of case-based reasoning and neural networks are combined. In this paper we integrate the two theories and show how
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