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Book Categories |
1 | Introduction | 1 |
2 | Introduction to wavelet analysis | 3 |
3 | Feature extraction for traffic incident detection using the wavelet transform and linear discriminant analysis | 27 |
4 | Adaptive conjugate gradient neural network-wavelet model for traffic incident detection | 45 |
5 | Enhancing fuzzy neural network algorithms using wavelets | 67 |
6 | Fuzzy-wavelet radial basis function neural network model for freeway incident detection | 79 |
7 | Comparison of the fuzzy-wavelet RBFNN freeway incident detection model with the California algorithm | 99 |
8 | Incident detection algorithm using a wavelet energy representation of traffic patterns | 119 |
9 | Parametric evaluation of the wavelet energy freeway incident detection algorithm | 147 |
10 | Case-based reasoning model for work zone traffic management | 167 |
11 | Mesoscopic-wavelet freeway work zone flow and congestion model | 197 |
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Add Wavelets in Intelligent Transportation Systems, This book shows how wavelets can be used to enhance computational intelligence for chaotic and complex pattern recognition problems. By integrating wavelets with other soft computing techniques such as neurocomputing and fuzzy logic, complicated and nois, Wavelets in Intelligent Transportation Systems to the inventory that you are selling on WonderClubX
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Add Wavelets in Intelligent Transportation Systems, This book shows how wavelets can be used to enhance computational intelligence for chaotic and complex pattern recognition problems. By integrating wavelets with other soft computing techniques such as neurocomputing and fuzzy logic, complicated and nois, Wavelets in Intelligent Transportation Systems to your collection on WonderClub |