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Titlebook: Artificial Intelligence in Industrial Decision Making, Control and Automation; Spyros G. Tzafestas,Henk B. Verbruggen Book 1995 Springer S

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期刊全稱Artificial Intelligence in Industrial Decision Making, Control and Automation
影響因子2023Spyros G. Tzafestas,Henk B. Verbruggen
視頻videohttp://file.papertrans.cn/163/162471/162471.mp4
學(xué)科分類Intelligent Systems, Control and Automation: Science and Engineering
圖書封面Titlebook: Artificial Intelligence in Industrial Decision Making, Control and Automation; Spyros G. Tzafestas,Henk B. Verbruggen Book 1995 Springer S
影響因子This book is concerned with Artificial Intelligence (AI) concepts and techniques as applied to industrial decision making, control and automation problems. The field of AI has been expanded enormously during the last years due to that solid theoretical and application results have accumulated. During the first stage of AI development most workers in the field were content with illustrations showing ideas at work on simple problems. Later, as the field matured, emphasis was turned to demonstrations that showed the capability of AI techniques to handle problems of practical value. Now, we arrived at the stage where researchers and practitioners are actually building AI systems that face real-world and industrial problems. This volume provides a set of twenty four well-selected contributions that deal with the application of AI to such real-life and industrial problems. These contributions are grouped and presented in five parts as follows: Part 1: General Issues Part 2: Intelligent Systems Part 3: Neural Networks in Modelling, Control and Scheduling Part 4: System Diagnostics Part 5: Industrial Robotic, Manufacturing and Organizational Systems Part 1 involves four chapters providing
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Arterien der abdominellen Organen the distributed robotic systems have been carried out actively and attractively, which include the research on cooperative/coordinate mobile robots [1][2], multi-arm manipulator robots [3] [4], several kinds of robots [5] [6], and group/swarm robotic systems [7] [8]. Related research works also in
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Arterien der unteren Extremit?tfor problems for which more conventional computation approaches are not effective. Such problems involve systems or processes that cannot be modelled with concise and accurate mathematical expressions, typical examples being machine vision, speech and patern recognition, control systems and robotic
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Neuro-Fuzzy Approaches to Anticipatory Controlns are typically Standard Operating Procedures (SOPs), dictating actions to be taken under specific conditions. The accumulated experience of various decision-makers at all levels of the process provides increasingly refined SOPs and progressively more sophisticated interactions amongst them and com
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Knowledge-Based Fault Diagnosis of Technological Systemsrsonnel or to the system itself. Hence, most modern systems involve: (i) a plan of maintenance which replaces worn parts before they malfunction or fail and (ii) a monitoring mechanism that detects a fault as it occurs, identifies the malfunction of a faulty component, and compensates for the fault
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Artificial Intelligence in Industrial Decision Making, Control and Automation
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