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Foreword. Acknowledgements. 1. Introduction. 2. General Framework of Dynamic Pattern Recognition. 3. Stages of the Dynamic Pattern Recognition Process. 4. Dynamic Fuzzy Classifier Design with Point-Prototype Based Clustering Algorithms. 5. Similarity Concepts for Dynamic Objects in Pattern Recognition. 6. Applications of Dynamic Pattern Recognition Methods. 7. Conclusions. References.
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Add Dynamic Fuzzy Pattern Recognition with Applications to Finance and Engineering, Dynamic Fuzzy Pattern Recognition with Applications to Finance and Engineering focuses on fuzzy clustering methods which have proven to be very powerful in pattern recognition and considers the entire process of dynamic pattern recognition. This book sets, Dynamic Fuzzy Pattern Recognition with Applications to Finance and Engineering to the inventory that you are selling on WonderClubX
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Add Dynamic Fuzzy Pattern Recognition with Applications to Finance and Engineering, Dynamic Fuzzy Pattern Recognition with Applications to Finance and Engineering focuses on fuzzy clustering methods which have proven to be very powerful in pattern recognition and considers the entire process of dynamic pattern recognition. This book sets, Dynamic Fuzzy Pattern Recognition with Applications to Finance and Engineering to your collection on WonderClub |