The Resource Applications of Neural Networks in High Assurance Systems, edited by Johann Schumann, Yan Liu, (electronic resource)

Applications of Neural Networks in High Assurance Systems, edited by Johann Schumann, Yan Liu, (electronic resource)

Label
Applications of Neural Networks in High Assurance Systems
Title
Applications of Neural Networks in High Assurance Systems
Statement of responsibility
edited by Johann Schumann, Yan Liu
Creator
Contributor
Editor
Provider
Subject
Language
eng
Summary
"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
Member of
http://library.link/vocab/creatorName
Schumann, Johann
Image bit depth
0
LC call number
  • TA329-348
  • TA640-643
Literary form
non fiction
http://library.link/vocab/relatedWorkOrContributorName
  • Liu, Yan.
  • SpringerLink
Series statement
Studies in Computational Intelligence,
Series volume
268
http://library.link/vocab/subjectName
  • Engineering
  • Artificial intelligence
  • Engineering mathematics
  • Industrial engineering
  • Engineering
  • Appl.Mathematics/Computational Methods of Engineering
  • Artificial Intelligence (incl. Robotics)
  • Automotive Engineering
  • Industrial and Production Engineering
Label
Applications of Neural Networks in High Assurance Systems, edited by Johann Schumann, Yan Liu, (electronic resource)
Instantiates
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
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
Dimensions
unknown
Extent
280p. 99 illus.
File format
multiple file formats
Form of item
electronic
Isbn
9783642106903
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-3-642-10690-3
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(DE-He213)978-3-642-10690-3
Label
Applications of Neural Networks in High Assurance Systems, edited by Johann Schumann, Yan Liu, (electronic resource)
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
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
Dimensions
unknown
Extent
280p. 99 illus.
File format
multiple file formats
Form of item
electronic
Isbn
9783642106903
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-3-642-10690-3
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(DE-He213)978-3-642-10690-3

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