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: 93
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: 53
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: 87
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: 51
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: 88
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: 63
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: 53
Lecture 0 What is Soft Computing * Intelligent Systems and Soft Computing * * * Intelligent Systems and Soft Computing Soft computing differs from conventional (hard) computing in that, unlike hard computing, it is tolerant of imprecision, uncertainty, partial truth, and approximation.
Date added: April 18, 2013 - Views: 4
Core Group: Soft Computing Techniques and Application Fuzzy Logic Artificial Neural Network Genetic Algorithms & Evolution Prog. Hybrid Models
Date added: October 19, 2011 - Views: 176
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: 27
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: 39
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
Soft Computing “The essence of soft computing is that unlike the traditional, hard computing, soft computing is aimed at an accommodation with the pervasive imprecision of the real world.
Date added: June 25, 2013 - Views: 9
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: 79
... (FCBF) Algorithm ... 2005. www.cse.msu.edu/~ptan/SDM07/Yu-Ye-Liu.pdf www1.cs.columbia.edu/~jebara/6772/proj/Keith.ppt Thank you! ... A Kolmogorov-Smirnov Correlation-Based Filter Solution. (CORES'05) Advances in Soft Computing, Springer Verlag, ...
Date added: January 27, 2012 - Views: 11
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
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: 29
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: 72
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
Using Soft Computing, Fractals, and Shear Wave Anisotropy Fred Aminzadeh1,2,Tayeb Ayatollahy Tafti1 1Department of Petroleum Engineering, 2 Energy Institute
Date added: May 7, 2013 - Views: 14
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
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: 25
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
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: 90
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: 19
Intelligent System Ming-Feng Yeh Department of Electrical Engineering Lunghwa University of Science and ... 50% Soft / Hard Computing Hard computing whose prime desiderata are precision, certainty, and rigor. Soft computing is tolerant of imprecision, uncertainty, and partial truth ...
Date added: June 15, 2013 - Views: 7
Soft computing exploits the tolerance for uncertainty and imprecision to achieve greater tractability and robustness, and lower the cost of solutions. We also use words when the available data is not precise enough to use numbers. This is ...
Date added: July 9, 2013 - Views: 5
Neuro-Fuzzy Algorithmic (NFA) Models and Tools for Estimation Danny Ho, Luiz F. Capretz*, Xishi Huang, ... Los Angeles, 2003. Huang X, Ho D, Ren J, Capretz L, A Soft Computing Framework for Software Effort Estimation. Soft Computing Journal, Springer, available at www.springeronline.com, 2005.
Date added: November 18, 2012 - Views: 28
Title: HW/SW Codesign of Embedded Systems Author: Gudarzi Last modified by: Maziar Created Date: 2/13/2001 3:16:38 PM Document presentation format
Date added: February 1, 2012 - Views: 21
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: 62
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
Soft Computing in Control. Real-Time Technology & Hardware in the Loop Simulations. Example: A Control System This example illustrates the modeling of a more complex system, ... \MATLAB\toolbox\simulink\blocks\sfuntmpl.m which can be used as a guide to write M-file S-functions.
Date added: May 7, 2013 - Views: 5
Unsupervised learning tends to follow the neuro-biological organisation of the brain. ... * Intelligent Systems and Soft Computing * Suppose, for instance, that the 2-dimensional input vector X is presented to the three-neuron Kohonen network, The initial weight vectors, ...
Date added: October 1, 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
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: 6
... An approach to computational intelligence and for soft computing A search paradigm As an approach for machine learning As a method to simulate biological systems As a subfield of ... Introduction to Evolutionary Computing Introduction with additions/modification by Christoph F ...
Date added: August 10, 2013 - Views: 10
... 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: November 12, 2012 - Views: 14
How Multi-Core Technology Will Influence Traditional Models of Software Licensing Margaret Lewis AMD Commercial Solutions Strategists ... Virtualization and Grid Computing Software Licensing Issues Virtualization and Grid Computing Software Licensing Issues Virtualization and Grid ...
Date added: March 7, 2012 - Views: 12
WE strive constantly to make K-Soft a winning competitor both today and in the future. We ... Database Expertise, Mobile Computing, OO Architecture Design, Systems Programming, Web Servers, Web Technologies. Year 2003 Corporate Performance Focus on Services and Help Desk Support.
Date added: July 31, 2014 - Views: 1
ARM The ARM is a 32 -bit reduced ... technologies Customized hardware architectures Effective computing Customizable systems Backward compatibility insurance Reconfigurable ... TI MSP430 MSP430 MSP430 Architecture Peripherals Slide 21 Slide 22 Programmable hardware Embedded architectures Soft ...
Date added: October 12, 2012 - Views: 31
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: 23
Soft real-time systems (e.g., Video on demand). Real-Time Systems -- Introduction A typical real-time system Example – Car driver Mission: Reaching the destination ... Common Misconceptions Real-time computing is equivalent to fast computing. Real-time programming is assembly coding, ...
Date added: March 20, 2012 - Views: 10
The Hard Case For Soft Skills Emotional competence is central to be successful in a leadership position. Leaders must be able to handle various stressful situations.
Date added: December 17, 2012 - Views: 30
... Application Layer - Smart Web Search Agents - Intelligent Soft Computing Agents Conclusion To make the future Internet more intelligent and more efficient, it is necessary to design relevant "Intelligent Middleware" between network hardware and high-level Web application systems.
Date added: February 7, 2012 - Views: 36
EE5900 Advanced Embedded System For ... Hard real-time systems (e.g., Avionic control). Firm real-time systems (e.g., Banking). Soft real-time ... its execution Fault-tolerant requirements To achieve higher reliability for task execution Redundancy in execution * Computing systems ...
Date added: August 26, 2013 - Views: 7