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Applications of Artificial Intelligence in Process Systems Engineering offers a broad perspective on the issues related to artificial intelligence technologies and their applications in chemical and process engineering. The book comprehensively introduces the methodology and applications of AI technologies in process systems engineering, making it an indispensable reference for researchers and students. As chemical processes and systems are usually non-linear and complex, thus making it challenging to apply AI methods and technologies, this book is an ideal resource on emerging areas such as cloud computing, big data, the industrial Internet of Things and deep learning. With process systems engineering's potential to become one of the driving forces for the development of AI technologies, this book covers all the right bases. - Explains the concept of machine learning, deep learning and state-of-the-art intelligent algorithms - Discusses AI-based applications in process modeling and simulation, process integration and optimization, process control, and fault detection and diagnosis - Gives direction to future development trends of AI technologies in chemical and process engineering
This book constitutes the refereed proceedings of the 13th International Conference on Artificial Intelligence: Methodology, Systems, and Applications, AIMSA 2008, held in Varna, Bulgaria in September 2008. The 30 revised full papers presented together with the 10 posters were carefully reviewed and selected from 109 submissions. The papers are organized in topical sections on agents; natural language processing and text analysis; machine learning and information retrieval; knowledge representation and reasoning; constraints, heuristics and search; applications; posters.
This book constitutes the refereed proceedings of the 11th International Conference on Artificial Intelligence: Methodology, Systems, and Applications, AIMSA 2004, held in Varna, Bulgaria in September 2004. The 52 revised full papers presented were carefully reviewed and selected from 176 submissions. The papers are organized in topical sections on ontology engineering, semantic Web services, knowledge representation and processing, machine learning and data mining, natural language processing, soft computing, neural networks, e-learning systems, multiagent systems, pattern recognition, intelligent decision making, and information retrieval.
Content Description #Includes bibliographical references and index.
This book constitutes the refereed proceedings of the 9th International Conference on Artificial Intelligence: Methodology, Systems, and Applications, AIMSA 2000, held in Varna, Bulgaria in September 2000.The 34 revised full papers presented were carefully reviewed and selected from 60 submissions. The papers are organized in topical sections on knowledge construction, reasoning under certainty, reasoning under uncertainty, actors and agents, Web mining, natural language processing, complexity and optimization, fuzzy and neural systems, and algorithmic learning.
This book constitutes the refereed proceedings of the 10th International Conference on Artificial Intelligence: Methodology, Systems, and Appliations, AIMSA 2002, held in Varna, Bulgaria in September 2002. The 26 revised full papers presented together with 2 invited papers were carefully reviewed and selected for inclusion in this book. The papers address a broad spectrum of topics in AI, including natural language processing, computational learning, Machine learning, AI planning, heuristics, neural information processing, adaptive systems, computational linguistics, multi-agent systems, AI logic, knowledge management, and information retrieval.
This book constitutes the refereed proceedings of the 15th International Conference on Artificial Intelligence: Methodology, Systems, and Applications, AIMSA 2012, held in Varna, Bulgaria in September 2012. The 36 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on natural language processing, social networks, knowledge representation and reasoning, machine learning, planning and agents, search, and computer vision.
The 14th International Conference on Artificial Intelligence: Methodology, Systems, Applications (AIMSA 2010) was held in Varna, Bulgaria, during September 8–10, 2010. The AIMSA conference series has provided a biennial forum for the presen- tion of artificial intelligence research and development since 1984. The conference covers the full range of topics in artificial intelligence (AI) and related disciplines and provides an ideal forum for international scientific exchange between Central/Eastern Europe and the rest of the world. The 2010 AIMSA edition continued this tradition. For AIMSA 2010, we decided to place special emphasis on the application and leverage of AI technologies in the context of knowledge societies where knowledge creation, accessing, acquiring, and sharing empower individuals and communities. A number of AI techniques play a key role in responding to these challenges. AI is - tensively used in the development of systems for effective management and flexible and personalized access to large knowledge bases, in the Semantic Web technologies that enable sharing and reuse of and reasoning over semantically annotated resources, in the emerging social Semantic Web applications that aid humans to collaboratively build semantics, in the construction of intelligent environments for supporting (human and agent) learning, etc. In building such intelligent applications, AI techniques are typically combined with results from other disciplines such as the social sciences, distributed systems, databases, digital libraries, information retrieval, service-oriented applications, etc.
This book constitutes the refereed proceedings of the 12th International Conference on Artificial Intelligence: Methodology, Systems, and Applications, AIMSA 2006. The 28 revised full papers presented together with the abstracts of 2 invited lectures were carefully reviewed and selected from 81 submissions. The papers are organized in topical sections on agents, constraints and optimization, user concerns, decision support, models and ontologies, machine learning, ontology manipulation, natural language processing, and applications.
This book constitutes the refereed proceedings of the 16th International Conference on Artificial Intelligence: Methodology, Systems, and Applications, AIMSA 2014, held in Varna, Bulgaria in September 2014. The 14 revised full papers and 9 short papers presented were carefully reviewed and selected from 53 submissions. The range of topics is almost equally broad, from traditional areas such as computer vision and natural language processing to emerging areas such as mining the behavior of Web-based communities.