| 刊年 | 1994 |
| G/SMD | リモートファイル |
| 形態 | 1 online resource (xxix, 270 p.) : ill. |
| シリーズ名 | Foundations of computing
|
| 注記 | Includes bibliographical references (p. [251]-257) and index
Restricted to subscribers or individual electronic text purchasers
Neural networks usually work adequately on small problems but can run into trouble when they are scaled up to problems involving large amounts of input data. Circuit Complexity and Neural Networks addresses the important question of how well neural networks scale - that is, how fast the computation time and number of neurons grow as the problem size increases. It surveys recent research in circuit complexity (a robust branch of theoretical computer science) and applies this work to a theoretical understanding of the problem of scalability.Most research in neural networks focuses on learning, yet it is important to understand the physical limitations of the network before the resources needed to solve a certain problem can be calculated. One of the aims of this book is to compare the complexity of neural networks and the complexity of conventional computers, looking at the computational ability and resources (neurons and time) that are a necessary part of the foundations of neural network learning.Circuit Complexity and Neural Networks contains a significant amount of background material on conventional complexity theory that will enable neural network scientists to learn about how complexity theory applies to their discipline, and allow complexity theorists to see how their discipline applies to neural networks
Also available in print
Mode of access: World Wide Web
Description based on PDF viewed 12/23/2015
URL:https://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=6267424(Abstract with links to resource) |
| 出版国 | アメリカ合衆国 |
| 標題言語 | 英語 |
| 本文言語 | 英語 |
| 著者情報 | Parberry, Ian
|
| ISBN | 9780262281249(: electronic bk)
|
| 無効/取消ISBN | 9780585360690(: electronic bk)
|
| 件名 | LCSH:Logiccircuits
LCSH:Computationalcomplexity
LCSH:Neuralnetworks(Computerscience)
|
| NCID | 6267424 |
| IDENT | https://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=6267424 |