C++ Neural Networks and Fuzzy Logic pdf download

C++ Neural Networks and Fuzzy Logic by Hayagriva Rao, Valluru B. Rao

C++ Neural Networks and Fuzzy Logic Hayagriva Rao, Valluru B. Rao ebook
ISBN: 1558515526, 9781558515529
Page: 595
Format: pdf
Publisher: M & T Books

85 then Hit_Success=insufficient. Rao (Author), Hayagriva Rao (Author) و هذه صو. Note that the representation of the rules, measures, methods and parameters can be changed according to the development environment such as C++, Pascal or Prolog. C++ Language ebook by Valluru B. C++ Neural Networks and Fuzzy Logic This book is excellent introduction to theory and practical application of neural networks and fuzzy logic. Fuzzy logic and neural networks have been discussed in detail through illustrative examples, methods and generic applications. I know that for sure because I was totaly illiterate in that topic before I red it. Several approaches have been proposed previously to recognize the gestures using soft computing approaches such as artificial neural networks (ANNs) [12–16], fuzzy logic sets [17], and genetic algorithms [18]. Also, it has been my experience, However, in both cases, I built algorithms that mimicked more of the Fuzzy Logic definition than the Neural Network. In most cases, the added accuracy of a Neural Network or Fuzzy Logic may not justify the cost. السلام عليكم و جزاكم الله خيرا لو امكن توفير هذا الكتاب C++ Neural Networks and Fuzzy Logic by Valluru B. In fact, both were built in SQL (many, many pages of SQL with equations built from SPSS or SAS), then turned into C# or C++ or some other web based code (I don't believe we ever used Java). C++ Network Programming Vol2.chm * C++ Neural Networks and Fuzzy Logic.pdf * C++ Primer Plus [4th Edition].chm * C++ Programming for the Absolute Beginner.chm * C++ Standard Library, The A Tutorial and Reference. C++ Neural Networks and Fuzzy Logic book download Download C++ Neural Networks and Fuzzy Logic Contents C++ Neural Networks and Fuzzy Logic by Valluru B. There are several AI techniques developed and used successfully in industrial problems such as expert systems, fuzzy logic, neural networks, genetic algorithms, intelligent agents, robotics, computer vision, natural language processing. Some statistical models [6] used for gesture recognition include General software that can perform gesture recognition is MATLAB, Microsoft Visual C#, Microsoft Visual C++, and Microsoft Visual Basic.