<p><P>The Group Method of Data Handling (GMDH) is a typical inductive modeling method that is built on principles of self-organization for modeling complex systems. However, it is known to often under-perform on non-parametric regression tasks, while time series modeling GMDH exhibits a tendency to
Hybrid Self-Organizing Modeling Systems
β Scribed by Godfrey Onwubolu (auth.), Godfrey C. Onwubolu (eds.)
- Publisher
- Springer-Verlag Berlin Heidelberg
- Year
- 2009
- Tongue
- English
- Leaves
- 296
- Series
- Studies in Computational Intelligence 211
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Subjects
Appl.Mathematics/Computational Methods of Engineering; Artificial Intelligence (incl. Robotics); Complexity; Applications of Mathematics
π SIMILAR VOLUMES
Journal. Open Academic Press. 2013 β 496 p.<div class="bb-sep"></div>Introduction - Norma B. Crosby <br/>Theoretical Models of SOC Systems - Markus J. Aschwanden <br/>SOC and Fractal Geometry - R. T. James McAteer <br/>Percolation Models of Self-Organized Critical Phenomena - Alexander V. Milovanov
As information handling systems get more and more complex, it becomes increasingly difficult to manage them using traditional approaches based on centralized and pre-defined control mechanisms. Over recent years, there has been a significant increase in taking inspiration from biology, the physical