Methods And Procedures For The Verification And Validation Of Artificial Neural Networks PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Methods And Procedures For The Verification And Validation Of Artificial Neural Networks PDF full book. Access full book title Methods And Procedures For The Verification And Validation Of Artificial Neural Networks.
| Author | : Brian J. Taylor |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 280 |
| Release | : 2006-03-20 |
| Genre | : Computers |
| ISBN | : 0387294856 |
Download Methods and Procedures for the Verification and Validation of Artificial Neural Networks Book in PDF, ePub and Kindle
Neural networks are members of a class of software that have the potential to enable intelligent computational systems capable of simulating characteristics of biological thinking and learning. Currently no standards exist to verify and validate neural network-based systems. NASA Independent Verification and Validation Facility has contracted the Institute for Scientific Research, Inc. to perform research on this topic and develop a comprehensive guide to performing V&V on adaptive systems, with emphasis on neural networks used in safety-critical or mission-critical applications. Methods and Procedures for the Verification and Validation of Artificial Neural Networks is the culmination of the first steps in that research. This volume introduces some of the more promising methods and techniques used for the verification and validation (V&V) of neural networks and adaptive systems. A comprehensive guide to performing V&V on neural network systems, aligned with the IEEE Standard for Software Verification and Validation, will follow this book.
| Author | : Laura L. Pullum |
| Publisher | : John Wiley & Sons |
| Total Pages | : 146 |
| Release | : 2007-03-09 |
| Genre | : Computers |
| ISBN | : 047008457X |
Download Guidance for the Verification and Validation of Neural Networks Book in PDF, ePub and Kindle
This book provides guidance on the verification and validation of neural networks/adaptive systems. Considering every process, activity, and task in the lifecycle, it supplies methods and techniques that will help the developer or V&V practitioner be confident that they are supplying an adaptive/neural network system that will perform as intended. Additionally, it is structured to be used as a cross-reference to the IEEE 1012 standard.
| Author | : Uma Bharathi Ramachandran |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2005 |
| Genre | : |
| ISBN | : |
Download Issues in Verification and Validation of Neural Network Based Approaches for Fault-diagnosis in Autonomous Systems Book in PDF, ePub and Kindle
Autonomous systems are those that evolve over time, and through learning, can make intelligent decisions when faced with unidentified and unknown situations. Artificial Neural Networks (ANN) has been applied to an increasing number of real-world problems with considerable complexity. Due to their learning abilities, ANN-based systems have been increasingly attracting attention in applications where autonomy is critical and where identification of possible fault scenarios is not exhaustive before hand. We have proposed a methodology in which the learning rules that a trained network has adapted can be extracted and refined using rule extraction and rule refinement techniques, respectively, and then these refined rules are subsequently formally specified and verified against requirements specification using formal methods. The effectiveness of the proposed approach has been demonstrated using a case study of an attitude control subsystem of a satellite.
| Author | : National Aeronautics and Space Administration (NASA) |
| Publisher | : Createspace Independent Publishing Platform |
| Total Pages | : 86 |
| Release | : 2018-06-12 |
| Genre | : |
| ISBN | : 9781721037605 |
Download Verification and Validation of Neural Networks for Aerospace Systems Book in PDF, ePub and Kindle
The Dryden Flight Research Center V&V working group and NASA Ames Research Center Automated Software Engineering (ASE) group collaborated to prepare this report. The purpose is to describe V&V processes and methods for certification of neural networks for aerospace applications, particularly adaptive flight control systems like Intelligent Flight Control Systems (IFCS) that use neural networks. This report is divided into the following two sections: 1) Overview of Adaptive Systems; and 2) V&V Processes/Methods.Mackall, Dale and Nelson, Stacy and Schumman, Johann and Clancy, Daniel (Technical Monitor)Ames Research Center; Armstrong Flight Research CenterAEROSPACE SYSTEMS; NEURAL NETS; SOFTWARE ENGINEERING; PROGRAM VERIFICATION (COMPUTERS); ADAPTIVE CONTROL; FLIGHT CONTROL; PERFORMANCE TESTS; COMPUTERIZED SIMULATION; SENSITIVITY ANALYSIS; AIRCRAFT STRUCTURES
| Author | : |
| Publisher | : |
| Total Pages | : 92 |
| Release | : 2002 |
| Genre | : |
| ISBN | : |
Download Verification and Validation of Neural Networks for Aerospace Systems Book in PDF, ePub and Kindle
| Author | : Ian Flood |
| Publisher | : ASCE Publications |
| Total Pages | : 300 |
| Release | : 1998-01-01 |
| Genre | : Technology & Engineering |
| ISBN | : 9780784474464 |
Download Artificial Neural Networks for Civil Engineers Book in PDF, ePub and Kindle
Sponsored by the Committee on Expert Systems and Artificial Intelligence of the Technical Council on Computer Practices of ASCE. This report illustrates advanced methods and new developments in the application of artificial neural networks to solve problems in civil engineering.Ø Topics include: Øevaluating new construction technologies; Øusing multi-layeredØartificial neural networkØarchitecture to overcome problems with conventional traffic signal control systems; Øincreasing the computational efficiency of an optimization model; Øpredicting carbonation depth in concrete structures; Ødetecting defects in concrete piles; Øanalyzing pavement systems; Øusing neural network hybrids to select the most appropriate bidders for a construction project; and Øpredicting the Energy Performance Index of residential buildings. ØMany of the ideas and techniques discussed in this book cross across disciplinary boundaries and, therefore, should be of interest to all civil engineers.
| Author | : Thomas, J. Joshua |
| Publisher | : IGI Global |
| Total Pages | : 355 |
| Release | : 2019-11-29 |
| Genre | : Computers |
| ISBN | : 1799811948 |
Download Deep Learning Techniques and Optimization Strategies in Big Data Analytics Book in PDF, ePub and Kindle
Many approaches have sprouted from artificial intelligence (AI) and produced major breakthroughs in the computer science and engineering industries. Deep learning is a method that is transforming the world of data and analytics. Optimization of this new approach is still unclear, however, and there’s a need for research on the various applications and techniques of deep learning in the field of computing. Deep Learning Techniques and Optimization Strategies in Big Data Analytics is a collection of innovative research on the methods and applications of deep learning strategies in the fields of computer science and information systems. While highlighting topics including data integration, computational modeling, and scheduling systems, this book is ideally designed for engineers, IT specialists, data analysts, data scientists, engineers, researchers, academicians, and students seeking current research on deep learning methods and its application in the digital industry.
| Author | : Isil Dillig |
| Publisher | : Springer |
| Total Pages | : 680 |
| Release | : 2019-07-12 |
| Genre | : Computers |
| ISBN | : 3030255409 |
Download Computer Aided Verification Book in PDF, ePub and Kindle
This open access two-volume set LNCS 11561 and 11562 constitutes the refereed proceedings of the 31st International Conference on Computer Aided Verification, CAV 2019, held in New York City, USA, in July 2019. The 52 full papers presented together with 13 tool papers and 2 case studies, were carefully reviewed and selected from 258 submissions. The papers were organized in the following topical sections: Part I: automata and timed systems; security and hyperproperties; synthesis; model checking; cyber-physical systems and machine learning; probabilistic systems, runtime techniques; dynamical, hybrid, and reactive systems; Part II: logics, decision procedures; and solvers; numerical programs; verification; distributed systems and networks; verification and invariants; and concurrency.
| Author | : Srinivasa Lingireddy |
| Publisher | : ASCE Publications |
| Total Pages | : 196 |
| Release | : 2005-01-01 |
| Genre | : Technology & Engineering |
| ISBN | : 9780784475607 |
Download Artificial Neural Networks in Water Supply Engineering Book in PDF, ePub and Kindle
Prepared by the Water Supply Engineering Technical Committee of the Infrastructure Council of the Environmental and Water Resources Institute of ASCE. This report examines the application of artificial neural network (ANN) technology to water supply engineering problems. Although ANN has rarely been used in in this area, those who have done so report findings that were beyond the capability of traditional statistical and mathematical modeling tools. This report describes the availability of diverse applications, along with the basics of neural network modeling, and summarizes the experiences of groups of researchers around the world who successfully demonstrated significant benefits from using ANN technology in water supply engineering. Topics include: Forecasting salinity levels in River Murray, South Australia; Predicting gastroenteritis rates and waterborne outbreaks; Modeling pH levels in a eutrophic Middle Loire River, France; and ANNs as function approximation tools replacing rigorous mathematical simulation models for analyzing water distribution networks.
| Author | : Danil Prokhorov |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 374 |
| Release | : 2008 |
| Genre | : Computers |
| ISBN | : 3540792562 |
Download Computational Intelligence in Automotive Applications Book in PDF, ePub and Kindle
This edited volume is the first of its kind and provides a representative sample of contemporary computational intelligence (CI) activities in the area of automotive technology. All chapters contain overviews of the state-of-the-art.
