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ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

人工智能的工程應(yīng)用

期刊周期:Bimonthly
研究方向:工程技術(shù)
影響因子:3.526
通訊地址:PERGAMON-ELSEVIER SCIENCE LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD, ENGLAND, OX5 1GB
官網(wǎng):http://www.elsevier.com/wps/find/journaldescription.cws_home/975/description
投稿地址:http://ees.elsevier.com/eaai/
審稿速度:約9.0個(gè)月

  中文簡(jiǎn)介

人工智能(AI)技術(shù)現(xiàn)在正被執(zhí)業(yè)工程師用來解決一系列迄今為止難以解決的問題。本雜志提供了一個(gè)國(guó)際論壇,用于快速出版描述人工智能方法在所有工程分支中的實(shí)際應(yīng)用的工作。該期刊的重點(diǎn)包括但不限于以下創(chuàng)新應(yīng)用:?實(shí)時(shí)智能自動(dòng)化及其相關(guān)支持方法和技術(shù),包括控制理論和工業(yè)信息學(xué),?分布式人工智能系統(tǒng)的架構(gòu)、算法和技術(shù),包括基于多智能體的控制和全息控制,?決策支持系統(tǒng),?推理方面:誘拐性、基于案例、基于模型、非單調(diào)、不完整、漸進(jìn)和近似推理,?混沌理論和分形理論的應(yīng)用,?元啟發(fā)式及其在智能自動(dòng)化和全局優(yōu)化中的應(yīng)用:進(jìn)化算法、群體智能、自然和生物啟發(fā)的元啟發(fā)式等。?知識(shí)處理、知識(shí)獲取和獲取、知識(shí)表示、知識(shí)壓縮、知識(shí)庫(kù)、專家系統(tǒng),?神經(jīng)網(wǎng)絡(luò)、模糊系統(tǒng)、神經(jīng)模糊系統(tǒng),?深入學(xué)習(xí)和現(xiàn)實(shí)應(yīng)用,?感知,例如圖像處理、模式識(shí)別、視覺系統(tǒng)、觸覺系統(tǒng)、語(yǔ)音識(shí)別和合成,?軟件工程方面,例如智能編程環(huán)境、基于人工智能的軟件、軟件和硬件架構(gòu)的驗(yàn)證和驗(yàn)證,以便實(shí)時(shí)使用人工智能技術(shù)、安全性和可靠性,?智能故障檢測(cè)、故障分析、診斷和監(jiān)控,?自組織、新興或生物啟發(fā)系統(tǒng),?大數(shù)據(jù)分析,了解復(fù)雜網(wǎng)絡(luò)、物聯(lián)網(wǎng)和網(wǎng)絡(luò)物理系統(tǒng)、智能交通系統(tǒng)和智能車輛?應(yīng)用上述技術(shù)的行業(yè)經(jīng)驗(yàn),例如案例研究或基準(zhǔn)測(cè)試。人工智能的工程應(yīng)用出版:?調(diào)查論文/教程。?貢獻(xiàn)論文-新研究或應(yīng)用的詳細(xì)說明。?案例研究或軟件審查——對(duì)現(xiàn)有可用人工智能軟件系統(tǒng)進(jìn)行評(píng)估和描述性審查,討論從使用或開發(fā)工程應(yīng)用人工智能系統(tǒng)中獲得的經(jīng)驗(yàn)和教訓(xùn)。?IFAC EAAI論壇-由工程實(shí)踐引起的問題,需要有人解決;本論壇或其他地方討論的問題的解決方案;對(duì)文獻(xiàn)中發(fā)現(xiàn)的立場(chǎng)或主張的評(píng)論。

  英文簡(jiǎn)介

Artificial Intelligence (AI) techniques are now being used by the practicing engineer to solve a whole range of hitherto intractable problems. This journal provides an international forum for rapid publication of work describing the practical application of AI methods in all branches of engineering.Focal points of the journal include, but are not limited to innovative applications of:? Real-time intelligent automation, and their associated supporting methodologies and techniques, including control theory and industrial informatics, ? Architectures, algorithms and techniques for distributed AI systems, including multi-agent based control and holonic control, ? Decision-support systems, ? Aspects of reasoning: abductive, case-based, model-based, non-monotonic, incomplete, progressive and approximate reasoning, ? Applications of chaos theory and fractals, ? Metaheuristics and their applications in intelligent automation and global optimization: Evolutionary Algorithms, swarm intelligence, nature and biologically inspired metaheuristics, etc.,? Knowledge processing, knowledge elicitation and acquisition, knowledge representation, knowledge compaction, knowledge bases, expert systems, ? Neural networks, fuzzy systems, neuro-fuzzy systems, ? Deep learning and real world applications,? Perception, e.g. image processing, pattern recognition, vision systems, tactile systems, speech recognition and synthesis, ? Aspects of software engineering, e.g. intelligent programming environments, verification and validation of AI-based software, software and hardware architectures for the real-time use of AI techniques, safety and reliability,? Intelligent fault detection, fault analysis, diagnostics and monitoring, ? Self-organizing, emerging or bio-inspired system, ? Big data analytics, Understanding complex networks, Internet-of-things and cyber-physical systems, Intelligent transportation systems & smart vehicles? Industrial experiences in the application of the above techniques, e.g. case studies or benchmarking exercises.Engineering Applications of Artificial Intelligence publishes:? Survey papers/tutorials. ? Contributed papers — detailed expositions of new research or applications. ? Case studies or software reviews — evaluative and descriptive reviews of existing available AI software systems, discussing the experience gained and lessons learnt from using or developing AI systems for engineering applications. ? IFAC EAAI Forum — problems arising from engineering practice, needing to be solved by somebody; solutions to problems discussed in this forum or elsewhere; critiques of a position or claim found in the literature.

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