OGLE 发表于 2025-3-30 08:31:35
http://reply.papertrans.cn/17/1621/162094/162094_51.png流逝 发表于 2025-3-30 13:20:50
http://reply.papertrans.cn/17/1621/162094/162094_52.png看法等 发表于 2025-3-30 17:52:04
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.poliosis 发表于 2025-3-30 22:30:43
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欲望 发表于 2025-3-31 01:16:21
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. .开头 发表于 2025-3-31 05:20:48
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.松驰 发表于 2025-3-31 10:36:07
http://reply.papertrans.cn/17/1621/162094/162094_57.pngBARK 发表于 2025-3-31 14:41:26
http://reply.papertrans.cn/17/1621/162094/162094_58.png正面 发表于 2025-3-31 18:23:47
http://reply.papertrans.cn/17/1621/162094/162094_59.png贫穷地活 发表于 2025-3-31 21:41:51
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