| Title | : | Fuzzy Logic Controller Tuning | Fuzzy Logic, Part 4 |
| Lasting | : | 18.29 |
| Date of publication | : | |
| Views | : | 23 rb |
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at 16:00 is VH and H for pre calculated dose are the same ? why we can't find VH in the possible cases of the pre calculated dose ? Comment from : Assia H |
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amazing as always! Comment from : Kaan Ural |
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Somebody give class about this? Comment from : Santiago Meza |
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amazing series - never been more excited to watch a whole series Comment from : Idont Wanto |
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Thanks Brian! Comment from : Conor Keenan |
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superb video sir, Come to know much more things in just a single videobrCan you please share the link of your code , so that we can implement those things Comment from : KANHU BHAYYA |
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Can't find any link to the writeup Comment from : Minhaj SixByte |
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Please suggest a book on fuzzy intelligence system Comment from : Hasin Abrar |
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Hi thank you for this, where can I find this example on MATLAB, i want to try it but I couldn't find it Comment from : Ghada Rhuma |
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Great tutorial Sir😁brCould you make a vedio on electricity load forecasting using the fuzzy logic data driven and finding the optimal rule base and MF using genetic algorithim please😁brIt would be very help full Comment from : yeshi wangdi |
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I have a question, is it possible to include a genetic algorithm to optimize the membership functions of a neuro fuzzy network? Comment from : Luis lara |
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I'll it use to temperature controll Comment from : surflaweb |
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Amazing lecture series from the best lecturer! Hope there will be more videos on the topic Comment from : Ibrahim Alispahic |
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Could you explain the difference between genetic and surrogate optimization? In my case the surrogate method calculates longer but gets better results Comment from : Alexander Skusnov |
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Very interesting Comment from : Pedritox0953 |
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Cool, when's the next lesson? Comment from : B R |
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