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I can answer most of the questions about the workings of a Fuzzy Logic machine, from the basics up to a certain advanced point.Questions regarding applications of Fuzzy systems intregrating with other technologies such as Neural Nets or Genetic Algorithms are propably out of my reach although,with some research,i could try to answer them(i have working knowledge of Neural Nets an Genetic Algorithms but i`m far from being consider an expert to these areas).
I have experience in Fuzzy Logic gained in projects i have been part of.The last project was a robotic vehicle that used a Fuzzy Logic path tracker which i designed.
Aristotle University of Thessaloniki,M.Eng. Electrical and Computer Engineering , National Technical University of Athens,Phd, Computational Intelligence in Robotics (currently pursuing)
| User | Date | K | C | T | P | Comments |
|---|---|---|---|---|---|---|
| dinesh | 11/06/09 | 10 | 10 | 10 | 10 | hi thanx a lot!!!!!!!!!!! |
| bita | 04/12/09 | 10 | 10 | 10 | 10 | |
| Stephen | 12/09/08 | 10 | 10 | 8 | 10 | Thanks very much - this is a ..... |
| Sergio Martone | 11/20/07 | 10 | 10 | 10 | 10 | Excellent. The Information I needed. Thank You ..... |
| Kodjo kiki | 11/19/07 | 10 | 10 | 10 | 10 | thanks |
Hi dinesh, these matrices are commonly known as sparse matrices. Access and storage algorithms for these objects are very well known and analysed. You can start with wikipedia: http://en.wikipedia
Hi Richard, AI is a vast discipline with many fields and subfields. If i could use a metaphor for your question, it would be this: "How can i learn Medicine on my own?". You see the basic problem? You
Hi tharshanth, the usual route is getting an MSc in some related field and then a PhD in AI. Even then, you will become "expert" in a specific field, but this is rather expected since AI is a huge descipline
Hi Bita, i don't think that there is a difference between reserved words and keywords. For all practical purposes, the terms are used interchangeably and you will encounter both terms referring to the
Hi Bita In simple terms, orthogonality in vectors means that the two vectors form a 90 degree angle between them, thus they are...orthogonal or normal. It can be shown that the inner (dot) product

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