Evolvable machines theory & practice /
Methods for the artificial evolution of active components, such as programs and hardware, are rapidly developing branches of adaptive computation and adaptive engineering. "Evolvable Machines" reports innovative and significant progress in automatic and evolutionary methodology applied to...
Saved in:
Other Authors: | Nedjah, Nadia., Macedo Mourelle, Luiza de., SpringerLink (Online service) |
---|---|
Format: | eBook |
Language: | English |
Published: |
Berlin ; New York :
Springer,
2005.
Berlin ; New York : 2005. |
Physical Description: |
1 online resource (xxiv, 258 pages) : illustrations. |
Series: |
Studies in fuzziness and soft computing ;
v. 161. |
Subjects: |
In Prospector
Similar Items
-
Efficient learning machines : theories, concepts, and applications for engineers and system Designers
by: Awad, Mariette,
Published: (2015) -
Evolutionary learning : advances in theories and algorithms
by: Zhou, Zhi-Hua (Computer scientist)
Published: (2019) -
Multiple Instance Learning : Foundations and Algorithms
Published: (2016) -
Innovations in machine learning : theory and applications
Published: (2006) -
Design and analysis of learning classifier systems : a probabilistic approach
by: Drugowitsch, Jan.
Published: (2008)