Methods and Procedures for the Verification and Validation of Artificial Neural Networks

Methods and Procedures for the Verificat

📁 Methods and Procedures for the Verification and Validation of Artificial Neural Networks

✍ Brian J. Taylor (auth.) 📂 Library 📅 2006 🏛 Springer US 🌐 English

<p><P>Artificial neural networks are a form of artificial intelligence that have the capability of learning, growing, and adapting with dynamic environments. With the ability to learn and adapt, artificial neural networks introduce new potential solutions and approaches to some of the more challengi

Methods and Procedures for the Verificat

📁 Methods and Procedures for the Verification and Validation of Artificial Neural Networks

✍ Brian J. Taylor 📂 Library 📅 2006 🏛 Springer Science+Business Media 🌐 English

<P>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 Veri

Methods and Procedures for the Verificat

📁 Methods and Procedures for the Verification and Validation of Artificial Neural Networks

✍ Brian J. Taylor (auth.) 📂 Library 📅 2006 🏛 Springer 🌐 English

Guidance for the verification and valida

📁 Guidance for the verification and validation of neural networks

✍ Darrah, Majorie A.; Taylor, Brian J.; Pullum, Laura L 📂 Library 📅 2007 🏛 IEEE Computer Society, J. Wiley 🌐 English

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/neu

Guidance for the verification and valida

📁 Guidance for the verification and validation of neural networks

✍ Taylor, Brian J.; Darrah, Marjorie A.; Pullum, Laura L 📂 Library 📅 2007 🏛 Wiley-IEEE Computer Society Pr 🌐 English

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/neu

Fire safety engineering. Procedures and

📁 Fire safety engineering. Procedures and requirements for verification and validation of calculation methods. General

📂 Scientific