| bibtype |
M -
Monography Chapter
|
| ARLID |
0310912 |
| utime |
20240111140705.0 |
| mtime |
20090401235959.9 |
| title
(primary) (eng) |
Neural networks |
| specification |
| page_count |
22 s. |
| media_type |
www |
| book_pages |
250 |
|
| serial |
| ARLID |
cav_un_epca*0310911 |
| ISBN |
978-1-84826-654-4 |
| title
|
Systems Science and Cybernetics |
| part_title |
Neural Networks |
| page_num |
224-248 |
| publisher |
| place |
Oxford |
| name |
Eolss Publishers-UNESCO |
| year |
2008 |
|
| editor |
| name1 |
Parra-Luna |
| name2 |
Francisco |
|
|
| title
(cze) |
Neurální sítě |
| keyword |
neural networks |
| keyword |
probabilistic approach |
| author
(primary) |
| ARLID |
cav_un_auth*0101218 |
| name1 |
Vajda |
| name2 |
Igor |
| institution |
UTIA-B |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0101091 |
| name1 |
Grim |
| name2 |
Jiří |
| institution |
UTIA-B |
| full_dept |
Department of Pattern Recognition |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| cas_special |
| project |
| project_id |
GA102/07/1594 |
| agency |
GA ČR |
| ARLID |
cav_un_auth*0228611 |
|
| research |
CEZ:AV0Z10750506 |
| abstract
(eng) |
The method of selective coloring of neurons discovered in 1875 enabled the structure of neural tissue to be shown as a complex network of specific cells—neurons. Neurons occur in a wide variety of shapes and sizes, have a large number of inputs (synapses) at their receptive zones (dendrites), and a single output line (axon) branched into multiple synaptic endings. The microelectrode was the starting point of ideas that led to the binary threshold model of a neuron’s electrical activity. In 1949 a physiological rule was proposed for synaptic plasticity as a basic adaptive principle of neural assemblies. However, despite the extensive and detailed knowledge accumulated in the last century, the learning principles of biological neural assemblies still continue to be a strong motivation for the further search for suitable neural network models. |
| abstract
(cze) |
Kapitola krátce shrnuje historii zkoumání nervového systému a zejména problematiku umělých neuronových sítí. Krátce jsou popsány různé přístupy k modelování neuronových sítí a jejich přínos. Zvláštní pozornost je věnována formální analýze vlastností perceptronu a pravděpodobnostnímu přístupu k neuronovým sítím. Cílem kapitoly je poskytnout základní představu a historii a současném stavu problematiky neuronových sítí a naznačit možné směry dalšího vývoje modelování neuronových sítí. |
| reportyear |
2009 |
| RIV |
BD |
| permalink |
http://hdl.handle.net/11104/0162649 |
| arlyear |
2008 |
| mrcbU56 |
pdf |
| mrcbU63 |
cav_un_epca*0310911 Systems Science and Cybernetics Neural Networks 978-1-84826-654-4 224 248 Systémové vědy a kybernetika Oxford Eolss Publishers-UNESCO 2008 Encyclopedia of Life Support Systems Volume III |
| mrcbU67 |
Parra-Luna Francisco 340 |
|