虚弱
发表于 2025-3-23 11:15:05
978-1-4613-6175-6Springer Science+Business Media New York 1994
令人作呕
发表于 2025-3-23 14:36:50
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易发怒
发表于 2025-3-23 21:57:38
Overview of Neural and Symbolic Systemsome cases, neural computing systems are replacing expert systems and other AI solutions. In other applications, neural networks provide features not possible with conventional AI systems, and they could provide aspects of intelligent behavior that have thus far eluded the AI symbolic/logical approach.
Lumbar-Spine
发表于 2025-3-24 00:01:18
LAMtm Hybrid System for Window Glazing Designineer with E. I. du Pont de Nemours & Company, Du Pont Polymers and Automotive - “Butacite”, Parkersburg, W.V. Dieter H. Droste also collaborated in this project. Mr. Foss is the primary author of this chapter.
Eeg332
发表于 2025-3-24 05:56:21
Chemical Tank Control Systemere an example using a system that controls the pH value of a controlled stirred chemical tank reactor. The system was created using the Conncert hybrid neural network/expert system development environment described in Chapter 2 and by Wilson and Hendler (1993).
Magisterial
发表于 2025-3-24 07:54:28
Hybrid System for Multiple Target Recognitionk/expert system approach to multiple target recognition based on their in-house hybrid development tool NueX. The work was sponsored by the Naval Surface Warfare Center, Dahlgren Division, under contract No. N60921-91-C0186.
Gerontology
发表于 2025-3-24 12:26:07
Guidelines for Developing Hybrid Systemsecific facts with information from clients or users about specific instances of problems in the knowledge domains of the expert systems. Ideally, reasoning can be explained and the knowledge bases easily modified, independent of the inference engine, as new rules become know.
THROB
发表于 2025-3-24 18:15:30
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宽容
发表于 2025-3-24 20:25:51
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SEMI
发表于 2025-3-25 00:33:03
Image Interpretation Via Fusion of Heterogeneous Sources Using a Hybrid Expert-Neural Network SystemThis chapter was written by Naresh Gupta, Srinivasan Raghavan, Gretchen Bailey, and Laveen Kanal at the LNK Corporation, Inc. They describe the system InFuse, which addresses the multi-source integration problem.