Optimisation and modelling of spiking neural networks - Enhancing neural information processing systems through the power of evolution
| aut.researcher | Schliebs, Stefan | |
| dc.contributor.author | Schliebs, S | |
| dc.date.accessioned | 2011-08-04T02:06:54Z | |
| dc.date.available | 2011-08-04T02:06:54Z | |
| dc.date.copyright | 2010 | |
| dc.date.issued | 2010 | |
| dc.description.abstract | Motivated by the desire to better understand the truly remarkable information processing capabilities of the brain, numerous biologically plausible computational models have been explored in the recent decades. Already today, many applications employ neural networks to solve complex real world problems. Significant progress has been made in areas such as speech recognition, robotic controllers, associative memory and function approximation. This book develops an extension for a machine learning technique called the evolving spiking neural network (eSNN). It allows the automatic tuning of the neural and learning-related parameters of eSNN in order to promote its straightforward application to many different problem domains. The book proposes novel evolutionary algorithms capable of efficiently exploring multiple mixed-variable search spaces simultaneously. The enhanced eSNN is comprehensively investigated on benchmark problems and a real-world case study. | |
| dc.identifier.citation | Schliebs, S (2010). Optimisation and modelling of spiking neural networks: enhancing neural information processing systems through the power of evolution. Lambert Academic Publishing | |
| dc.identifier.isbn | 9783843362580 | |
| dc.identifier.isbn | 978-3-8433-6258-0 | |
| dc.identifier.uri | https://hdl.handle.net/10292/1568 | |
| dc.publisher | LAP LAMBERT Academic Publishing | |
| dc.relation.uri | https://www.lap-publishing.com/catalog/details/store/es/book/978-3-8433-6258-0/optimisation-and-modelling-of-spiking-neural-networks?locale=gb | |
| dc.rights | The university or college is a scientific educational institution and eventually an examination office. It is thus entitled to a right of use regarding the contents of such papers within the framework of its own scientific research and education (including publication). The university/college however, does not have the right of publication, dissemination, duplication or commercial exploitation without the author’s approval. Some universities have the author transfer such non-exclusive rights to them. In such cases, there is no conflict with the LAP General Terms & Conditions. The transfer of non-exclusive rights to the university/college is thus not a issue. | |
| dc.rights.accessrights | OpenAccess | |
| dc.title | Optimisation and modelling of spiking neural networks - Enhancing neural information processing systems through the power of evolution | |
| dc.type | Authored Book | |
| dc.type | Book | |
| pubs.organisational-data | /AUT | |
| pubs.organisational-data | /AUT/Design & Creative Technologies | |
| pubs.publisher-url | https://www.lap-publishing.com/ |