Introduction to Neuro-fuzzy and Soft computing G.Anuradha (Lecture 1) * * * * summary SC is evolving rapidly New techniques and applications are constantly being proposed * * G.Anuradha * What is computing?
Date added: May 2, 2013 - Views: 95
Soft Computing Paradigm Lecture Module 23 Hard Vs Soft Computing Paradigms Hard computing Based on the concept of precise modeling and analyzing to yield accurate results.
Date added: May 27, 2013 - Views: 54
Introduction to Softcomputing Son Kuswadi Robotic and Automation Based on Biologically-inspired Technology (RABBIT) Electronic Engineering Polytechnic Institute of Surabaya
Date added: February 13, 2013 - Views: 92
Title: Soft Computing, Machine Intelligence and Data Mining Author: PC-30 Last modified by: Sankar Created Date: 10/5/2001 7:06:01 AM Document presentation format
Date added: January 31, 2012 - Views: 90
Lecture 11 Hybrid intelligent systems: Neural expert systems and neuro-fuzzy systems Introduction Neural expert systems Neuro-fuzzy systems * Computer Intelligence and Soft Computing
Date added: June 15, 2012 - Views: 53
The Berkeley Initiative in Soft Computing Electrical Engineering and Computer Sciences Department The basic ideas underlying soft computing in its current incarnation have links to many earlier influences, among them Prof. Zadeh’s 1965 paper on fuzzy sets; ...
Date added: September 13, 2011 - Views: 67
Soft Computing and Its Applications in SE Shafay Shamail Malik Jahan Khan Soft Computing Difference with conventional computing Tolerant of imprecision Uncertainty Partial truth Approximation Vagueness Basic Constituents of SC Fuzzy Logic Neural Computing Evolutionary Computing Machine Learning ...
Date added: May 2, 2013 - Views: 55
Core Group: Soft Computing Techniques and Application Fuzzy Logic Artificial Neural Network Genetic Algorithms & Evolution Prog. Hybrid Models
Date added: October 19, 2011 - Views: 178
Intelligent Systems and Soft Computing Intelligent Systems and Soft Computing Intelligent Systems and Soft Computing Intelligent Systems and Soft Computing Intelligent Systems and Soft Computing Although neural networks are used for solving a variety of problems, ...
Date added: July 4, 2012 - Views: 12
A Statistician’s Games*: Bootstrap, Bagging and Boosting Yaochu Jin Future Technology Research Honda R&D Europe (Germany) March 21, 2000 * Please refer to “Game theory, on-line prediction and boosting” by Y. Freund and
Date added: September 20, 2014 - Views: 1
Introduction to Artificial Intelligence and Soft Computing Goal This chapter provides brief overview of Artificial Intelligence Soft Computing Artificial Intelligence Intelligence: “ability to learn, understand and think” (Oxford dictionary) AI is the study of how to make computers make ...
Date added: December 9, 2013 - Views: 31
Title: Chapter 02 for Neuro-Fuzzy and Soft Computing Author: Roger Jang Last modified by: Matyqz Created Date: 10/11/1995 6:38:31 PM Document presentation format
Date added: February 15, 2012 - Views: 42
From Interactive Evolutionary Algorithms to Agent-based Evolutionary Design Interactive Evolutionary Algorithm When and How Current Applications of IEAs
Date added: August 27, 2014 - Views: 1
Lecture 10 Evolutionary Computation: Evolution strategies and genetic programming Evolution strategies Genetic programming Summary * Intelligent Systems and Soft Computing *
Date added: August 15, 2014 - Views: 1
Title: Foundation for the Advancement of Soft Computing Author: Mercurio Last modified by: rdelcoso Created Date: 5/22/2006 2:27:20 PM Document presentation format
Date added: September 20, 2014 - Views: 1
Agenda Reconfigurable Computing Considerations, core algorithm relationships, commercial applications C ... Exploiting “Soft” programmable HW Configurable Applications Schedule and load HW content prior to HW execution Reconfigurable Applications Dynamically change HW content during HW ...
Date added: October 28, 2011 - Views: 86
... A Kolmogorov-Smirnov Correlation-Based Filter Solution. (CORES'05) Advances in Soft Computing, ... Verlag, pp. 95-104, 2005. www.cse.msu.edu/~ptan/SDM07/Yu-Ye-Liu.pdf www1.cs.columbia.edu/~jebara/6772/proj/Keith.ppt Thank you! Q and A i C i C Time Complexity: O(N) Time complexity: O
Date added: January 27, 2012 - Views: 11
Title: Chapter 02 for Neuro-Fuzzy and Soft Computing Author: Roger Jang Last modified by: Dan Simon Created Date: 10/11/1995 6:38:31 PM Document presentation format
Date added: November 11, 2011 - Views: 43
Title: Plotting in Matlab and Fuzzy Logic Toolbox -----An Introduction Author: Jun Tan Last modified by: Bouchaffra Created Date: 10/2/2003 3:23:37 AM
Date added: July 7, 2012 - Views: 76
Soft computing capability for deliberative, reactive, and adaptive development of behavior-based robot tactical schemes. 3D modeling and simulation tools for world perception modeling and visualization of cooperative mobile robots.
Date added: August 3, 2013 - Views: 4
www.cs.vu.nl/~gusz/ecbook/slides/Genetic_Algorithms.ppt web.umr.edu/~ercal/387/slides ... A quasi optimized solution is acceptable Allows ample time to come with the solution In this case soft computing such as GA’s and Learning offers solutions with Robust results Low cost Easy ...
Date added: September 4, 2014 - Views: 1
Fault-Tolerant Computing Software Design Methods About This Presentation Software Reliability and Redundancy Multilevel Model of Dependable Computing How Is Software Different from Hardware?
Date added: June 5, 2012 - Views: 31
Software Development Chapter 3 Software Development Languages & Environments Content statement Background The fist object oriented language was called Simula 67 It was developed in the 1960’s by the Norwegian Computing Centre Simula 67 contained most of the important concepts and techniques ...
Date added: August 3, 2013 - Views: 2
Slides for Fuzzy Sets, Ch. 2 of Neuro-Fuzzy and Soft Computing J.-S. Roger Jang (張智星) CS Dept., Tsing Hua Univ., Taiwan http://www.cs.nthu.edu.tw/~jang
Date added: July 13, 2013 - Views: 9
... Knowledge-Based Systems Journal of Japan Society for Fuzzy Theory and Systems International Journal of Fuzzy Systems Soft Computing International Journal of Approximate Reasoning--Soft Computing in Recognition and Search Intelligent Automation and Soft Computing Journal of Multiple ...
Date added: May 2, 2013 - Views: 11
SOFT COMPUTING TECHNIQUES FOR STATISTICAL DATABASES Miroslav Hudec INFOSTAT – Bratislava MSIS 2009 Introduction Soft computing (by fuzzy logic) Database query (SQL - fuzzy) case study Data classification (usual - fuzzy) case study Conclusion Soft computing Database queries (SQL) SQL and fuzzy ...
Date added: May 13, 2012 - Views: 9
Soft computing (including neural networks, fuzzy logic and genetic algorithms) has been used extensively in geosciences and energy related applications.
Date added: May 7, 2013 - Views: 18
Radiation-Induced Soft Errors: An Architectural Perspective Shubu Mukherjee1, Joel Emer2, & Steven. K Reinhardt1,3 1Fault Aware Computing Technology (FACT) Group, Intel
Date added: September 25, 2011 - Views: 28
Soft computing is tolerant of imprecision, uncertainty, and partial truth. (Lotfi Zadeh) The primary aim of soft computing is to exploit such tolerance to achieve tractability, robustness, a high level of machine intelligence, and a low cost in practical applications.
Date added: June 15, 2013 - Views: 7
The principles and concepts behind Smartphones Today’s talk: The triple nature of a smartphone Embedded and pervasive computing platform Does not run general-purpose programs have conventional interface Persistent and ubiquitous device – must be pervasive Mobile Computing platform Operates ...
Date added: October 28, 2011 - Views: 93
Our research in the area of quantum computing will develop computer aided design tools for quantum circuits and systems which ... M. Perkowski, "The Cost of Quantum Gate Primitives," Journal of Multi-valued Logic and Soft Computing, 2005. J. Biamonte, M. Perkowski, "Automated Test Pattern ...
Date added: October 7, 2011 - Views: 21
More complex debugging Introduction to HW/SW Codesign System-level Co-Design Issues General-purpose computing systems ISP: ... Control systems Often have a data-processing component Reactive systems RT: hard/soft Timers Safety and reliability more important than performance Safety: ...
Date added: February 1, 2012 - Views: 25
Soft Computing Journal, Springer, available at www.springeronline.com, 2005. Xia W, Capretz L, Ho D, Calibrating Function Points Using Neuro-Fuzzy Technique. IFPUG, (to appear) 2005. Maxwell D, Forselius P, Benchmarking Software Development Productivity.
Date added: November 18, 2012 - Views: 30
Do machines actually think? Or do they simulate thinking? Alan Turing in his paper: “Computing Machinery and Intelligence” suggested a test to decide if a computer can think or ... Soft Computing Researchers might agree and claim that this is a problem of “old AI ...
Date added: April 19, 2012 - Views: 20
... for Optimal Design of Neural Nets,” in Proceedings of the Third International Conference on Recent Advances in Soft Computing, R. John and R. Birkenhead, Eds. Germany: Springer Verlag, 2000, pp. 15-22. Network Topology: ...
Date added: August 14, 2013 - Views: 4
Resilient Machines ThroughContinuous Self-Modeling. Pattern Recognition. 2010.04.06. Seung-Hyun Lee. Soft Computing Lab. Josh Bongard,VictorZykov, and Hod Lipson, Science,
Date added: December 29, 2013 - Views: 3
Title: Dependable Computing Systems Last modified by: Jim Gray Created Date: 7/5/1995 3:33:44 AM Document presentation format: On-screen Show Other titles
Date added: November 30, 2011 - Views: 17
* Intelligent Systems and Soft Computing * The Mexican hat function of lateral connection * Intelligent Systems and Soft Computing * In the Kohonen network, a neuron learns by shifting its weights from inactive connections to active ones.
Date added: October 1, 2013 - Views: 3
Fuzzy Rule-based Models *Neuro-fuzzy and Soft Computing - J.Jang, C. Sun, and, E. Mizutani, Prentice Hall 1997 A Classification of Fuzzy Rule-based models for function approximation Mamdani model Why TSK?
Date added: June 17, 2013 - Views: 10
Title: Reconfigurable Computing Technology Comparison for Aerospace Applications Author: Tony Last modified by: Tony Created Date: 10/6/2005 3:15:39 AM
Date added: May 13, 2012 - Views: 17
Computational Intelligence and Soft Computing 5. Neural Network Architecture 7. Generalization By Nonlinear Interpolation 8. Applications 2. Features of the Human Brain (Differences from Digital Computers) Intelligence ? 4.
Date added: June 20, 2013 - Views: 25
... Introduction to Evolutionary Computing Introduction with additions/modification by Christoph F. Eick * * * * * * * Contents ... An approach to computational intelligence and for soft computing A search paradigm As an approach for machine learning As a method to simulate ...
Date added: August 10, 2013 - Views: 14
Virtualization and Grid Computing Companies are estimating that 25% to 50% of their hardware infrastructure will be dual core by 2008 Primary workloads for multi-core systems will include IT infrastructure Database Virtual processing/clustering/grid The adoption of virtualization and grid ...
Date added: March 7, 2012 - Views: 12
Recommended book for adaptive fuzzy systems: Neuro-Fuzzy and Soft Computing: A Computational Approach to Learning and Machine Intelligence by Jang, Sun, & Mizutani
Date added: November 25, 2012 - Views: 64