Collection of articles describing recent progress in this emerging field. Covers topics such as the combination of neural nets with fuzzy systems or hidden Markov models, neural networks for the processing of symbolic data structures, hybrid methods in data mining, and others.
Hybrid Methods in Pattern Recognition
โ Scribed by H. Bunke, A. Kandel
- Year
- 2002
- Tongue
- English
- Leaves
- 338
- Edition
- 1st
- Category
- Library
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
In this book, we study theoretical and practical aspects of computing methods for mathematical modelling of nonlinear systems. A number of computing techniques are considered, such as methods of operator approximation with any given accuracy; operator interpolation techniques including a non-Lagrang
In this book, we study theoretical and practical aspects of computing methods for mathematical modelling of nonlinear systems. A number of computing techniques are considered, such as methods of operator approximation with any given accuracy; operator interpolation techniques including a non-Lagrang