21. Sumeet Gupta's Neural Network Page Includes related fields like genetic algorithms, fuzzy logic, adaptive computing and complex systems and descriptions of each site. http://www.geocities.com/sumeet_gupta/neural.html

Sumeet's Neural Network Page Actually you will find much more than just Neural Nets here. Sites on related topics such as neuroscience, genetic algorithms,fuzzy logic, artficial life etc. have also been listed. Sorry but you will have to do the sorting yourself. You might want to visit my homepage Aberdeen Electronics Research Group - Look out for the Computational Intelligence Research and publications on neural networks and hybrid systems. Adaptive Simulated Annealing (ASA) : Code and related preprints. Lester Ingber. Alberta - Biological Computation Project : Research and references on the motion correspondence problem, the value unit connectionist architecture, network interpretation, redundant networks, medical diagnosis, and issues in cognitive science. Amsterdam - Intelligent Autonomous Systems Group - Robotics and Neurocomputing : Research papers, preprints, introductory textbook on neural networks. Antwerp - Born Bunge Foundation - Theoretical Neurobiology Unit : Realistic models of neurons to explore the function of the nervous system, particularly the mammalian cerebellum. Artificial Life Bibliography : Maintained by Ezequiel A Di Paolo at University of Sussex.

22. BISC Program; Soft Computing Fuzzy Set 1965 fuzzy logic 1973 BISC 1990 HumanMachine Perception 2000 - Welcome to the BISC Program http://tmsyn.wc.ask.com/r?t=an&s=hb&uid=24312681243126812&sid=343126

23. Fuzzy :: Functions (Fuzzy Logic Toolbox) fuzzy logic Toolbox, Previous page Next page. fuzzy. Invoke the basic FIS editor. Syntax. fuzzy fuzzy(fismat). The Diagram. The diagram displayed at the http://www.mathworks.com/access/helpdesk/help/toolbox/fuzzy/fuzzy.shtml

Fuzzy Logic Toolbox fuzzy Invoke the basic FIS editor Syntax fuzzy fuzzy(fismat) The Diagram The diagram displayed at the top of the window shows the inputs, outputs, and a central fuzzy rule processor. Click on one of the variable boxes to make the selected box the current variable. You should see the box highlighted in red. Double-click on one of the variables to bring up the Membership Function Editor. Double-click on the fuzzy rule processor to bring up the Rule Editor. If a variable exists but is not mentioned in the rule base, it is connected to the rule processor block with a dashed rather than a solid line. Menu Items The FIS Editor displays a menu bar that allows you to open related GUI tools, open and save systems, and so on. Under File select New Mamdani FIS... to open a new Mamdani-style system with no variables and no rules called Untitled New Sugeno FIS... to open a new Sugeno-style system with no variables and no rules called Untitled Open from disk... to load a system from a specified .fis file on disk.

24. Aptronix Fuzzy fuzzy logic pioneer Since 1988. Zaptron Systems (spinoff) A data mining specialist http://tmsyn.wc.ask.com/r?t=an&s=hb&uid=24312681243126812&sid=343126

25. FAQ: Fuzzy Logic And Fuzzy Expert Systems 1/1 [Monthly Posting] 8 Isn t fuzzy logic an inherent contradiction? Why would anyone want to fuzzify logic? 9 How are membership values determined? http://www.cs.cmu.edu/Groups/AI/html/faqs/ai/fuzzy/part1/faq.html

Introduction [1] What is the purpose of this newsgroup? [2] What is fuzzy logic? [3] Where is fuzzy logic used? Introduction [1] What is the purpose of this newsgroup? [2] What is fuzzy logic? [3] Where is fuzzy logic used? ... [24] Where to send calls for papers (cfp) and calls for participation

26. OMEGA ENGINEERING - FUZZY LOGIC Our calibration services and quality control test center are trustworthy resources that help satisfy our customers needs for accuracy, http://www.omega.com/techref/fuzzylogic.html

Part Number All Omega Technical Reference Selection Guide GENERAL - Glossary - Intrinsic Safety - Teflon Fluorocarbon TEMPERATURE RELATED - ITS-90 - Thermocouple Ref Tables - Practical Temp Measurement - Intro to Thermocouples - Thermocouple Color Codes - Thermocouple Junction - Fiber Optics - Fuzzy Logic - Heat Wave - Wire Insulation Identification - Infrared Temp Measurment PRESSURE, STRAIN AND FORCE - FAQ - Pipe Thread Dimensions - Pressure Transducers - Strain Gage Technical Data - Waterhammer - Pressure Units Converter FLOW AND LEVEL RELATED - Liquid Flowmeters - Selecting A Flow Meter - Technical Principles of Valves CONDUCTIVITY/ENVIRONMENT - pH Control - Introduction to pH - Dissolved Oxygen - Conductivity and Resistivity - Electrode Basics - Halogen Leak Detector - Ion Selective Electrodes - Turbidity Measurement - Water and Wastewater DATA ACQUISITION RELATED - Data Acquisition Knowledge Base - Transactions Volume 2: Data Acquisition - Based Acquisition Systems - Data Acquisition Systems - Electronic Basics - Data Logging Systems - The RS-232 Standard ELECTRIC HEATER RELATED - Electric Heater Related Fuzzy Logic On/off, PID, microprocessor based, Fuzzy Logic; the evolutionary changes of controls. This brief paper outlines some background of standard PID control and how the implementation of Fuzzy Logic can improve your single feedback control systems. Fuzzy Logic is a particular area of concentration in the study of Artificial Intelligence and is based on the value of that information which is neither definitely true nor false. The information which humans use in their everyday lives to base intuitive decisions and apply general rules of thumb can and should be applied to those control situations which demand them. Acquired knowledge can be a powerful weapon to combat the undesired effects of the system response.

27. Research Activities M. Sc. thesis by Tamer Samy download in .zip or .doc format. http://tamersamy.tripod.com/research.htm

setAdGroup('67.18.104.18'); var cm_role = "live" var cm_host = "tripod.lycos.com" var cm_taxid = "/memberembedded" Search: Lycos Tripod Star Wars Share This Page Report Abuse Edit your Site ... Next Research * Download the contents of my M. Sc. thesis Fuzzy Logic Control For Power System Stabilization * Download my complete M. Sc. thesis Fuzzy Logic Control For Power System Stabilization Part-1 Fuzzy Logic Control For Power System Stabilization Part-2 Fuzzy Logic Control For Power System Stabilization Part-3 * This is my first international research , This research has been published in IASTED Power and Energy Systems Conference 2000 [All regards to my supervisors : Prof.A.A.Sallam and Dr.Kamel El-Serafi who helped me a lot] A NEAR-OPTIMAL FUZZY LOGIC STABILIZER FOR WEAKLY CONNECTED POWER SYSTEMS http://www.iasted.com

28. BBC NEWS England 'Fuzzy Logic' Shows Cyclone Risk Email this to a friend Printable version 'fuzzy logic' shows cyclone risk. A new system could forecast cyclones and their likely path http://tmsyn.wc.ask.com/r?t=an&s=hb&uid=24312681243126812&sid=343126

29. FAQ: Fuzzy Logic And Fuzzy Expert Systems 1/1 [Monthly Posting] - [2] What Is Fu Date 15APR-93 fuzzy logic is a superset of conventional (Boolean) logic that has been For more information on fuzzy logic operators, see Bandler, W., http://www.cs.cmu.edu/Groups/AI/html/faqs/ai/fuzzy/part1/faq-doc-2.html

[2] What is fuzzy logic? Go Back Up Go To Previous Go To Next

30. MIT - Management Intelligenter Technologien GmbH Computational Intelligence (Intelligente Technologien) bezeichnet den Zusammenschlu der Gebiete Fuzzy Technologie, k nstliche neuronale http://tmsyn.wc.ask.com/r?t=an&s=hb&uid=24312681243126812&sid=343126

31. Fuzzy Logic Tutorial. Free fuzzy logic jump start tutorial. fuzzy logic FOR QUOT;JUST PLAIN FOLKS QUOT; by Thomas Sowell. Chapter 1 fuzzy logic a Powerful New Way to http://www.fuzzy-logic.com/Ch1.htm

Home Page and Additional Chapters FUZZY LOGIC FOR "JUST PLAIN FOLKS" by Thomas Sowell Chapter 1: Fuzzy Logic - a Powerful New Way to Analyze and Control Complex Systems Introduction Welcome to the wonderful world of fuzzy logic, the new science you can use to powerfully get things done. Add the ability to utilize personal computer based fuzzy logic analysis and control to your technical and management skills and you can do things that humans and machines cannot otherwise do. Get a competitive edge! Following is the base on which fuzzy logic is built: As the complexity of a system increases, it becomes more difficult and eventually impossible to make a precise statement about its behavior, eventually arriving at a point of complexity where the fuzzy logic method born in humans is the only way to get at the problem. (Originally identified and set forth by Lotfi A. Zadeh, Ph.D., University of California, Berkeley) Fuzzy logic is used in system control and analysis design, because it shortens the time for engineering development and sometimes, in the case of highly complex systems, is the only way to solve the problem. The following chapters of this book attempt to explain for us "Just Plain Folks" how the "fuzzy logic method born in humans" is used to evaluate and control complex systems. Although most of the time we think of "control" as having to do with controlling a physical system, there is no such limitation in the concept as initially presented by Dr. Zadeh. Fuzzy logic can apply also to economics, psychology, marketing, weather forecasting, biology, politics ...... to any large complex system.

32. Fuzzy Logic Is A New Media Design Company A visual communications and brand development company specializing in new media. Site contains online portfolio. http://www.fuzzylogical.com

33. Support Vector Machines, Neural Networks And Fuzzy Logic Models A textbook that provides a thorough, comprehensive and unified introduction to the field of learning from experimental data and soft computing. http://support-vector.ws

Support Vector Machines, Neural Networks and Fuzzy Logic Models LEARNING AND SOFT COMPUTING Table of contents Preface Chapter's survey Case Studies ... Back home Vojislav KECMAN The MIT Press, Cambridge, MA, 2001 ISBN 0-262-11255-8 608 pp., 268 illus., This is the first textbook that provides a thorough, comprehensive and unified introduction to the field of learning from experimental data and soft computing. Support vector machines (SVMs) and neural networks (NNs) are the mathematical structures, or models, that underlie learning, while fuzzy logic systems (FLS) enable us to embed structured human knowledge into workable algorithms. The book assumes that it is not only useful, but necessary, to treat SVMs, NNs, and FLS as parts of a connected whole. The theory and algorithms are illustrated by 47 practical examples, as well as by 155 problem sets and simulated experiments. This approach enables the reader to develop SVMs, NNs, and FLS in addition to understanding them. The book also presents three case studies on: NNs based control, financial time series analysis, and computer graphics. A solutions manual and all of the MATLAB programs needed for the simulated experiments are available.

34. Science: Mathematics: Logic: Fuzzy Logic - Open Site Science Mathematics Logic fuzzy logic Open Site. http://open-site.org/Science/Mathematics/Logic/Fuzzy_Logic/

Open Site The Open Encyclopedia Project home submit content become an editor the entire directory only in Logic/Fuzzy_Logic Top Science Mathematics Logic : Fuzzy Logic Fuzzy Logic is a superset of Boolean, or classical, logic dealing with the concept of partial truth. While in Boolean logic everything can be expressed in binary terms (0 or 1, on or off, yes or no), fuzzy logic replaces classical truth values with degrees of truth that range between and 1. Historical notes The subject was introduced by Lotfi Zadeh in the 1960s, and has been rather controversial since then. It is widely accepted within the engineering and computer science communities but generally rejected by mathematicians, a majority of which does not consider it a legitimate field of logic. This category needs an editor - apply here Open Site Code 0.5.3 robot company. Visit our sister sites dmoz.org mozilla.org chefmoz.org musicmoz.org ... edit

35. Archival Information For "Fuzzy Logic" Ortech Engineering s fuzzy logic ReservoirOEI/TIL ftp site Contains fuzzy logic demos, papers, text files, utilities, This fuzzy logic reservoir is maintained by Ortech Engineering Inc. Please http://plato.stanford.edu/cgi-bin/encyclopedia/archinfo.cgi?entry=logic-fuzzy

36. FUZZY SYSTEMS - A TUTORIAL By James F. Brule (c) Copyright James It was Plato who laid the foundation for what would become fuzzy logic, The next step in establishing a complete system of fuzzy logic is to define the http://www.ortech-engr.com/fuzzy/tutor.txt

37. Lionheart Publishing, Inc. - Intelligent Systems Report Monthly newsletter featuring news and applications of such intelligent technologies as artificial intelligence, expert systems, neural networks, fuzzy logic systems, virtual reality, interactive multimedia and speech recognition. http://lionhrtpub.com/ISR/ISR-welcome.html

38. Mental Math & Calculation; Tutorials On Data Mining, Neural Networks , And Fuzzy Exercise tool to practice addition, subtraction, multiplication, division, trigonometry and fuzzy logic problems. http://www.answermath.com/

HOME Math Store Español Italiano ... Transcender e-Learning is your guide to IT success! Practice on line: Addition Subtraction Multiplication Division ... Tangent Practice on line: Try to do it in your head...Select a level...Write your Answer by clicking the pad... ...We'll tell how you did and see how fast you did it... Mental Math Tips and Tricks: Ways to help you solve mathematical operations easily in your head... Artificial Intelligence Tutorials: Data Mining Neural Networks Fuzzy Logic Fuzzy Control Lab. ... Fields Artificial Intelligence Tutorials: Neural Networks, Fuzzy Logic and Sets, and Data Mining...Fuzzy Control Lab. and Artificial Life Lab... Fields and Vectors Web http://www.answermath.com Home Site Map Suggest a link Send Comments ... Help

39. I.R.BOT A six wheeled insect inspired robot based on the AVR microcontrollers. Site includes photos, diagrams, and software and brief notes on the use of neural nets and fuzzy logic with the robot. http://www.fictoor.nl/irbot/

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40. Fuzzy Logic - Wikipedia, The Free Encyclopedia fuzzy logic is an extension of Boolean logic dealing with the concept of fuzzy logic allows for set membership values between and including 0 and 1, http://en.wikipedia.org/wiki/Fuzzy_logic

Fuzzy logic From Wikipedia, the free encyclopedia. This article is about the Boolean logic extension. For the album by Super Furry Animals , see Fuzzy Logic (album) Fuzzy logic is an extension of Boolean logic dealing with the concept of partial truth . Whereas classical logic holds that everything can be expressed in binary terms (0 or 1, black or white, yes or no), fuzzy logic replaces boolean truth values with degrees of truth Degrees of truth are often confused with probabilities , although they are conceptually distinct, because fuzzy truth represents membership in vaguely defined sets, not likelihood of some event or condition. To illustrate the difference, consider this scenario: Bob is in a house with two adjacent rooms: the kitchen and the dining room. In many cases, Bob's status within the set of things "in the kitchen" is completely plain: he's either "in the kitchen" or "not in the kitchen". What about when Bob stands in the doorway? He may be considered "partially in the kitchen". Quantifying this partial state yields a fuzzy set membership. With only his little toe in the dining room, we might say Bob is 0.99 "in the kitchen", for instance. No event (like a coin toss) will resolve Bob to being completely "in the kitchen" or "not in the kitchen", as long as he's standing in that doorway. Fuzzy sets are based on vague definitions of sets, not randomness. Fuzzy logic allows for set membership values between and including and 1, shades of gray as well as black and white, and in its linguistic form, imprecise concepts like "slightly", "quite" and "very". Specifically, it allows partial membership in a set. It is related to

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