Filters








94,209 Hits in 5.2 sec

Introduction to the Soft Computing and Intelligent Data Analysis Minitrack

Rudolf Kruse
2014 2014 47th Hawaii International Conference on System Sciences  
Soft computing refers to a collection of computational techniques in computer science, artificial intelligence, machine learning and some engineering disciplines, which attempt to study, model, and analyze  ...  Earlier computational approaches could model and precisely analyze only relatively simple systems.  ...  The following four papers will be presented in this year's minitrack on Soft Computing and Intelligent Data Analysis.  ... 
doi:10.1109/hicss.2014.171 dblp:conf/hicss/Kruse14 fatcat:itr6hh25obe4jb5t2qzdyptjbi

Introduction to the Soft Computing and Intelligent Data Analysis Minitrack

Rudolf Kruse, Gabriella Pasi, Jose Maria Alonso
2016 2016 49th Hawaii International Conference on System Sciences (HICSS)  
Cognitive Computing with Perceptions jose.alonso@softcomputing.es Soft computing refers to a collection of computational techniques in computer science, artificial intelligence, machine learning and some  ...  The following four papers will be presented in this year's minitrack on Soft Computing and Intelligent Data Analysis.  ...  Soft computing refers to a collection of computational techniques in computer science, artificial intelligence, machine learning and some engineering disciplines, which attempt to study, model, and analyze  ... 
doi:10.1109/hicss.2016.215 dblp:conf/hicss/KrusePA16 fatcat:66g55lsrxnbqpdpumz3kbttmbq

Introduction to the soft computing and intelligent data analysis minitrack

Rudolf Kruse, Gabriella Pasi, Jose Maria Alonso
2015 2015 48th Hawaii International Conference on System Sciences  
Cognitive Computing with Perceptions jose.alonso@softcomputing.es Soft computing refers to a collection of computational techniques in computer science, artificial intelligence, machine learning and some  ...  The following four papers will be presented in this year's minitrack on Soft Computing and Intelligent Data Analysis.  ...  Soft computing refers to a collection of computational techniques in computer science, artificial intelligence, machine learning and some engineering disciplines, which attempt to study, model, and analyze  ... 
doi:10.1109/hicss.2015.644 dblp:conf/hicss/KrusePA15 fatcat:ubwszbi5ujfu7boqsrxw7w2l6q

Computational Issues in Intelligent Control: Discrete-Event and Hybrid Systems [chapter]

XENOFON D. KOUTSOUKOS, PANOS J. ANTSAKLIS
2000 Soft Computing and Intelligent Systems  
The design, simulation, and verification of intelligent control systems is highly nontrivial and typically involves significant amount of computations.  ...  Finally, we present a parallel computing architecture for intelligent control systems and we illustrate its advantages by considering parallel discrete event simulations.  ...  Nikos Chrisochoides of the Computer Science and Engineering Department at the University of Notre Dame for his valuable assistance concerning the parallel computing architecture.  ... 
doi:10.1016/b978-012646490-0/50006-8 fatcat:tpqu57oywrhwtfcrvohzhr3trq

Advanced Soft Relation and Soft Mapping

Güzide Şenel, Jeong-Gon Lee, Kul Hur
2020 International Journal of Computational Intelligence Systems  
Second, by using the soft relation introduced by Babitha and Sunil, its some important results are obtained. Third, by using the soft mapping by them, its advanced properties are proved and studied.  ...  intersection of an arbitrary family of soft sets are introduced and further results for various soft set operations are obtained.  ...  INTRODUCTION In order to solve complicated problems in economics, engineering, environmental science, medical science and social science, methods in classical mathematics may not be successfully used because  ... 
doi:10.2991/ijcis.d.201221.001 fatcat:aubyl4vdzrexdb42clru2jrflu

Fuzzy Soft Sets and Fuzzy Soft Lattices

Yingchao Shao, Keyun Qin
2012 International Journal of Computational Intelligence Systems  
At last, the concept of fuzzy soft ideal over a lattice is presented and the lattice structures of fuzzy soft ideal over a lattice are discussed.  ...  In this paper, the notion of fuzzy soft lattice is defined and some related properties are derived, which extends the notion of a fuzzy lattice to include the algebraic structures of soft sets.  ...  Introduction Most of the problems in engineering, medical science, economics, environments etc. have various uncertainties.  ... 
doi:10.1080/18756891.2012.747667 fatcat:7blxnqttobebfhkla45v6qrmru

Redefined soft relations and soft functions

Keyun Qin, Qiong Liu, Yang Xu
2015 International Journal of Computational Intelligence Systems  
Furthermore, the connections between soft relations and fuzzy sets are analyzed. It is shown that fuzzy relation and fuzzy soft set may be considered as special cases of soft relation.  ...  In this paper, the notion of soft relation is introduced which is a generalization of the notion of soft set relation, and some related properties are examined.  ...  Acknowledgements The authors are highly grateful to the anonymous referees for their insightful comments and valuable suggestions which greatly improve the quality of this paper.  ... 
doi:10.1080/18756891.2015.1063244 fatcat:4vhuc7sv7jgb7itnasoco2hx4e

Soft points, ligsl/ig-relations and soft rough approximate operations

Guangji Yu
2017 International Journal of Computational Intelligence Systems  
In this paper, the concept of soft points is introduced and the relationship between soft points and soft sets is investigated.  ...  By means of soft points and these results, a pair of soft rough approximate operations is defined.  ...  Acknowledgements The authors would like to thank the editors and the anonymous reviewers for their valuable comments and suggestions which have helped immensely in improving the quality of the paper.  ... 
doi:10.2991/ijcis.2017.10.1.7 fatcat:xlcqzvdmfjas5nlnfk46k6enhe

Computationally Intelligent Hybrid Systems: The Fusion of Soft Computing and Hard Computing- [Book review

A. Cipriano
2005 IEEE Power and Energy Magazine  
Computationally Intelligent Hybrid Systems: The Fusion of Soft Computing and Hard Computing Edited by Seppo J. Ovaska, IEEE Press, Wiley Interscience, 2005.  ...  Chapter 1, "Introduction to Fusion of Soft Computing" by S.J.  ... 
doi:10.1109/mpae.2005.1507028 fatcat:zbuis35tmff7zciqlvjdvawnca

Computational intelligence and soft computing: some thoughts on already explored and not yet explored paths

Janusz Kacprzyk
2010 International Journal of Computational Intelligence Systems  
soft systems methodology.  ...  We comment upon the very essence, roots, potentials, and applicability of computational intelligence and soft computing.  ...  computational intelligence and soft computing.  ... 
doi:10.2991/ijcis.2010.3.2.10 fatcat:vrv2xw4n2jfnpdtmcofst4ivju

Intelligent Computing and Control Framework for Smart Automated System

R. Manikandan, G. Ranganathan, V. Bindhu
2022 Intelligent Automation and Soft Computing  
This paper targets to bring the usage of sensor-based intelligent and automatic control methods in the field of an agriculture system which includes automatic solar panel tracking and control, environmental  ...  vital parameters measurement, monitoring and implementation of intelligent control methods.  ...  Acknowledgement: The authors would like to thank the management of Gnanamani college of Technology and Department of Electronics and Communication Engineering for providing the resources to complete this  ... 
doi:10.32604/iasc.2022.023922 fatcat:2yvdpzsuv5gopocpsd4ummnfuu

Soft Pattern Mining in Neuroscience [chapter]

Christian Borgelt
2013 Advances in Intelligent Systems and Computing  
This paper surveys how pattern mining methods, especially soft methods that tackle the core problems of temporal imprecision and selective participation, can help to test the temporal coincidence coding  ...  Acknowledgements I am grateful to Denise Berger, Christian Braune, Iván Castro-León, George Gerstein, Sonja Grün, Sebastien Louis, and David Picado-Muiño (listed alphabetically by last name, no precedence  ...  Introduction Basically all information transmission and processing in humans and animals is carried out by the nervous system, which is a network of special cells called neurons or nerve cells.  ... 
doi:10.1007/978-3-642-33042-1_1 fatcat:n5ewljdnfbanrmlqljcn7j45hm

Intelligent Systems: Architectures and Perspectives [chapter]

Ajith Abraham
2003 Studies in Fuzziness and Soft Computing  
Computational intelligence is an innovative framework for constructing intelligent hybrid architectures involving Neural Networks (NN), Fuzzy Inference Systems (FIS), Probabilistic Reasoning (PR) and derivative  ...  years, contributed to a large number of new intelligent system designs.  ...  Acknowledgements Author is grateful to Professor Lakhmi Jain (University of South Australia, Adelaide) and the three referees for the technical comments, which improved the clarity of this chapter.  ... 
doi:10.1007/978-3-7908-1770-6_1 fatcat:u7g7qckslzcyxnxghenpzuwpma

Deep Learning for Plastic Waste Classification System

Janusz Bobulski, Mariusz Kubanek
2021 Applied Computational Intelligence and Soft Computing  
The plastic waste may be automatically chosen on a transmission belt for waste removal by using methods of image processing and artificial intelligence, especially deep learning, to improve the recycling  ...  Waste segregation techniques and procedures are applied to major groups of materials such as paper, plastic, metal, and glass.  ...  Acknowledgments is research was funded by the "Polish Ministry of Science and Higher Education" with the name "Regional Initiative of Excellence" in the years 2019-2022 (Project no. 020/RID/ 2018/19),  ... 
doi:10.1155/2021/6626948 doaj:fd03804d207942d9ba966ab3c619e757 fatcat:vftcp7mqcvfbpgpv7uuvutkk2a

A Soft Computing System for Modelling the Manufacture of Steel Components [chapter]

Andres Bustillo, Javier Sedano, Leticia Curiel, José R. Villar, Emilio Corchado
2009 Advances in Intelligent and Soft Computing  
In this paper we present a soft computing system developed to optimize the laser milling manufacture of high value steel components, a relatively new and interesting industrial technique.  ...  Finally, it is shown that the Box-Jenkins algorithm, which calculates the function of a linear system from its input and output samples, is the most appropriate model to control such industrial task for  ...  Palouzie and Mr. J. Diaz for their kind-spirited and useful advice.  ... 
doi:10.1007/978-3-540-93905-4_70 dblp:series/asc/BustilloSCVC09 fatcat:ur4i6osdprhdhogxpyovol6xfq
« Previous Showing results 1 — 15 out of 94,209 results