|
|
|
|
LEADER |
00000nam a22000005i 4500 |
001 |
978-3-642-10690-3 |
003 |
DE-He213 |
005 |
20220114172331.0 |
007 |
cr nn 008mamaa |
008 |
100306s2010 gw | s |||| 0|eng d |
020 |
|
|
|a 9783642106903
|9 978-3-642-10690-3
|
024 |
7 |
|
|a 10.1007/978-3-642-10690-3
|2 doi
|
050 |
|
4 |
|a TA329-348
|
050 |
|
4 |
|a TA345-345.5
|
072 |
|
7 |
|a TBJ
|2 bicssc
|
072 |
|
7 |
|a TEC009000
|2 bisacsh
|
072 |
|
7 |
|a TBJ
|2 thema
|
082 |
0 |
4 |
|a 620
|2 23
|
245 |
1 |
0 |
|a Applications of Neural Networks in High Assurance Systems
|h [electronic resource] /
|c edited by Johann M.Ph. Schumann, Yan Liu.
|
250 |
|
|
|a 1st ed. 2010.
|
264 |
|
1 |
|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2010.
|
300 |
|
|
|a XVI, 248 p. 99 illus.
|b online resource.
|
336 |
|
|
|a text
|b txt
|2 rdacontent
|
337 |
|
|
|a computer
|b c
|2 rdamedia
|
338 |
|
|
|a online resource
|b cr
|2 rdacarrier
|
347 |
|
|
|a text file
|b PDF
|2 rda
|
490 |
1 |
|
|a Studies in Computational Intelligence,
|x 1860-9503 ;
|v 268
|
505 |
0 |
|
|a Application of Neural Networks in High Assurance Systems: A Survey -- Robust Adaptive Control Revisited: Semi-global Boundedness and Margins -- Network Complexity Analysis of Multilayer Feedforward Artificial Neural Networks -- Design and Flight Test of an Intelligent Flight Control System -- Stability, Convergence, and Verification and Validation Challenges of Neural Net Adaptive Flight Control -- Dynamic Allocation in Neural Networks for Adaptive Controllers -- Immune Systems Inspired Approach to Anomaly Detection, Fault Localization and Diagnosis in Automotive Engines -- Pitch-Depth Control of Submarine Operating in Shallow Water via Neuro-adaptive Approach -- Stick-Slip Friction Compensation Using a General Purpose Neuro-Adaptive Controller with Guaranteed Stability -- Modeling of Crude Oil Blending via Discrete-Time Neural Networks -- Adaptive Self-Tuning Wavelet Neural Network Controller for a Proton Exchange Membrane Fuel Cell -- Erratum to: Network Complexity Analysis of Multilayer Feedforward Artificial Neural Networks.
|
520 |
|
|
|a "Applications of Neural Networks in High Assurance Systems" is the first book directly addressing a key part of neural network technology: methods used to pass the tough verification and validation (V&V) standards required in many safety-critical applications. The book presents what kinds of evaluation methods have been developed across many sectors, and how to pass the tests. A new adaptive structure of V&V is developed in this book, different from the simple six sigma methods usually used for large-scale systems and different from the theorem-based approach used for simplified component subsystems.
|
650 |
|
0 |
|a Engineering mathematics.
|
650 |
|
0 |
|a Engineering-Data processing.
|
650 |
|
0 |
|a Artificial intelligence.
|
650 |
|
0 |
|a Automotive engineering.
|
650 |
|
0 |
|a Industrial engineering.
|
650 |
|
0 |
|a Production engineering.
|
650 |
1 |
4 |
|a Mathematical and Computational Engineering Applications.
|
650 |
2 |
4 |
|a Artificial Intelligence.
|
650 |
2 |
4 |
|a Automotive Engineering.
|
650 |
2 |
4 |
|a Industrial and Production Engineering.
|
700 |
1 |
|
|a Schumann, Johann M.Ph.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
|
700 |
1 |
|
|a Liu, Yan.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
|
710 |
2 |
|
|a SpringerLink (Online service)
|
773 |
0 |
|
|t Springer Nature eBook
|
776 |
0 |
8 |
|i Printed edition:
|z 9783642106910
|
776 |
0 |
8 |
|i Printed edition:
|z 9783642106897
|
776 |
0 |
8 |
|i Printed edition:
|z 9783642262692
|
830 |
|
0 |
|a Studies in Computational Intelligence,
|x 1860-9503 ;
|v 268
|
856 |
4 |
0 |
|u https://doi.uam.elogim.com/10.1007/978-3-642-10690-3
|z Texto Completo
|
912 |
|
|
|a ZDB-2-ENG
|
912 |
|
|
|a ZDB-2-SXE
|
950 |
|
|
|a Engineering (SpringerNature-11647)
|
950 |
|
|
|a Engineering (R0) (SpringerNature-43712)
|