Brain-Inspired Information Technology

Brain-Inspired Information Technology

Εμφάνιση άλλων εκδόσεων (1)

"Brain-inspired information technology" is one of key concepts for the development of information technology in the next generation. Explosive progress of computer technology has been continuing based on a simple principle called "if-then rule". This means that the programmer of...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή:	SpringerLink (Online service)
Άλλοι συγγραφείς:	Hanazawa, Akitoshi (Επιμελητής έκδοσης), Miki, Tsutom (Επιμελητής έκδοσης), Horio, Keiichi (Επιμελητής έκδοσης)
Μορφή:	Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:	English
Έκδοση:	Berlin, Heidelberg : Springer Berlin Heidelberg, 2010.
Σειρά:	Studies in Computational Intelligence, 266
Θέματα:	Engineering. Neurosciences. Artificial intelligence. Applied mathematics. Engineering mathematics. Appl.Mathematics/Computational Methods of Engineering. Artificial Intelligence (incl. Robotics).
Διαθέσιμο Online:	Full Text via HEAL-Link

Παρόμοια τεκμήρια

Advances in Biologically Inspired Information Systems Models, Methods, and Tools /
Έκδοση: (2007)

Biologically-Inspired Optimisation Methods Parallel Algorithms, Systems and Applications /
Έκδοση: (2009)

Advances in Multi-Objective Nature Inspired Computing
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Information Hiding and Applications
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Brain-Inspired Information Technology
ανά: Hanazawa, Akitoshi
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Computer and Information Science 2009
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Intelligent Systems and Technologies Methods and Applications /
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Computational Intelligence in Information Assurance and Security
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Model-Based Reasoning in Science, Technology, and Medicine
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Foundations of Computational Intelligence Volume 4 Bio-Inspired Data Mining /
Έκδοση: (2009)

Computational Intelligence in Security for Information Systems CISIS’09, 2nd International Workshop Burgos, Spain, September 2009 Proceedings /
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Fuzzy Information and Engineering Volume 2
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New Challenges in Applied Intelligence Technologies
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Human-Centric Information Processing Through Granular Modelling
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Nature-Inspired Algorithms for Optimisation
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Uncertainty Approaches for Spatial Data Modeling and Processing A Decision Support Perspective /
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Parallel and Distributed Computational Intelligence
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Optimal Models and Methods with Fuzzy Quantities
ανά: Cao, Bing-Yuan
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Intelligent Autonomous Systems Foundations and Applications /
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Fuzzy Optimization Recent Advances and Applications /
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Soft Computing in XML Data Management Intelligent Systems from Decision Making to Data Mining, Web Intelligence and Computer Vision /
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Innovations in Multi-Agent Systems and Applications - 1
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Swarm Intelligent Systems
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Multiagent based Supply Chain Management
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Parameter Setting in Evolutionary Algorithms
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Fuzzy Engineering Economics with Applications
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Oppositional Concepts in Computational Intelligence
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Theoretical Advances and Applications of Fuzzy Logic and Soft Computing
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Evolution of Teaching and Learning Paradigms in Intelligent Environment
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Ontologies for Urban Development
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Challenges for Computational Intelligence
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Innovations in Intelligent Machines - 1
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Data Mining: Foundations and Practice
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Computational Intelligence: A Compendium
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Hybrid Metaheuristics An Emerging Approach to Optimization /
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Innovative Applications in Data Mining
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Knowledge Processing and Decision Making in Agent-Based Systems
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Multi-Objective Memetic Algorithms
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Mining Complex Data
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Intelligent Agents in the Evolution of Web and Applications
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