Special issue on Mexican International Conference on Artificial Intelligence, MICAI 2014 and 2015

MICAI is an annual conference that disseminates and promotes growth of outstanding research works in all areas of artificial intelligence (AI), including but not limited to: expert systems and knowledge-based systems, knowledge representation and acquisition, multi-agent systems and distributed AI,...

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Vydáno v:Soft computing (Berlin, Germany) Ročník 21; číslo 3; s. 555 - 556
Hlavní autoři: Ponce, Hiram, González-Mendoza, Miguel, Martínez-Villaseñor, Ma. Lourdes
Médium: Journal Article
Jazyk:angličtina
Vydáno: Berlin/Heidelberg Springer Berlin Heidelberg 01.02.2017
Springer Nature B.V
Témata:
Agriculture
Algorithms
Artificial Intelligence
Artificial neural networks
Authorship
Closed loops
Computational Intelligence
Computer vision
Control
Cooperation
Deep learning
Editorial
Engineering
Expert systems
Feedback control
Fuzzy control
Fuzzy logic
International conferences
Knowledge representation
Machine learning
Mathematical functions
Mathematical Logic and Foundations
Mechatronics
Methods
Multiagent systems
Natural language processing
Neural networks
Pattern recognition
Robot control
Robotics
Robots
Soft computing
Mexico
ISSN:1432-7643, 1433-7479
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Shrnutí:MICAI is an annual conference that disseminates and promotes growth of outstanding research works in all areas of artificial intelligence (AI), including but not limited to: expert systems and knowledge-based systems, knowledge representation and acquisition, multi-agent systems and distributed AI, natural language processing, intelligent interfaces, computer vision, machine learning, pattern recognition, soft computing, reasoning, robotics, planning and scheduling, among others. [...]the paper A 3-SPS-1S Parallel Robot-Based Laser Sensing for Applications in Precision Agriculture by Ricardo Zavala-Yoe, Ricardo A. Ramírez-Mendoza and Silverio García-Lara presents an intelligent control for a parallel robot for precision agriculture. A closed-loop control system is implemented, using a fuzzy logic controller and an artificial neural network-based model of the robot.
Bibliografie:SourceType-Scholarly Journals-1
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ISSN:1432-7643
1433-7479
DOI:10.1007/s00500-017-2483-0