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Artificial Neural Network Applications for Software Reliability Prediction

This book provides a starting point for software professionals to apply artificial neural networks for software reliability prediction;

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Prediction of Software Reliability Using Neural Network & Fuzzy Logic

, reliable development methodologies, testing methods for reliability, and reliability growth prediction modeling. Many software reliability growth;

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Prediction of Vibrations & Cutting force of single point cutting tool in turning by using Artificial Neural Network

Prediction of Vibrations & Cutting Force of Single Point Cutting Tool in Turning by Using Artificial Neural Network is een boek van Matin;

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Artificial Neural Networks

functional reorganization. Section 2 focuses on the application of artificial neural networks in forecasting and prediction, describing: sales;

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New Developments in Computer Networks

of prediction performance based on real network traffic; network security; a modified artificial neural network based approach to add new data in a;

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Computational Intelligence Techniques and Their Applications to Software Engineering Problems

, reliability assessment, software defect prediction, and more Highlights swarm intelligence-based optimization solutions for software testing;

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Emerging Capabilities and Applications of Artificial Higher Order Neural Networks

Artificial neural network research is one of the new directions for new generation computers. Current research suggests that open box;

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Emerging Capabilities and Applications of Artificial Higher Order Neural Networks

Artificial neural network research is one of the new directions for new generation computers. Current research suggests that open box;

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New Developments In Artificial Neural Networks Research

neural network based visual servo system; modelling of computer-assisted learning using artificial neural networks; prediction of hole quality;

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Some Applications of Artificial Neural Network in Nuclear Engineering

In this book some applications of artificial neural network in nuclear engineering are presented. In densitometry, number of scattered and;

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Neural Networks

artificial neural networks. The study was also conducted for seasonal dipole mode index prediction because the dipole mode index is more prominent;

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Applied Neural Networks and Soft Computing

every aspect to give readers a wider perspective. Further, artificial neural networks (vaguely inspired by biological neural network) are also;

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Wavelet Neural Networks

constructing confidence and prediction intervals Ideal as a textbook for MBA and graduate-level courses in applied neural network modeling, artificial;

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Focus on Artificial Neural Networks

of pharamceutical microemulsions; massive-training artificial neural networks for supervised enhancement/suppression of lesions/patterns in medical images;

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System Reliability Management: Solutions and Technologies

material for applications of reliability in system engineering, offering a theoretical sound background with adequate numerical illustrations;

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System Reliability Management: Solutions and Technologies

material for applications of reliability in system engineering, offering a theoretical sound background with adequate numerical illustrations;

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Artificial Neural Networks in Biological and Environmental Analysis

Originating from models of biological neural systems, artificial neural networks (ANN) are the cornerstones of artificial intelligence;

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Artificial Neural Networks in Biological and Environmental Analysis

Originating from models of biological neural systems, artificial neural networks (ANN) are the cornerstones of artificial intelligence;

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Next Generation and Advanced Network Reliability Analysis

This book covers reliability assessment and prediction of new technologies such as next generation networks that use cloud computing;

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Artificial Neural Network Applications in Business and Engineering

processes. Artificial neural networks are a set of statistical modeling tools that are capable of processing nonlinear data with strong accuracy;

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Artificial Neural Network Applications in Business and Engineering

processes. Artificial neural networks are a set of statistical modeling tools that are capable of processing nonlinear data with strong accuracy;

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Artificial Neural Networks with Java

understanding of the main principles of neural network processing. Artificial Neural Networks with Java also teaches you how to prepare the data to be;

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Artificial Neural Networks with Java

understanding of the main principles of neural network processing. Artificial Neural Networks with Java also teaches you how to prepare the data to be;

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Neural Networks for Complete Beginners

. The back-propagation algorithm, which is used for training artificial neural networks, is discussed. The book also guides you through the;

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Collaborative Computing: Networking, Applications and Worksharing

, collaborative IoT services and applications, artificial intelligence, software development, teleportation protocol and entanglement swapping, network;

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Deep Neural Networks and Applications

Deep Neural Networks and Applications makes the readers aware about the various artificial neural networks (ANN) and the topologies related;

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A Comprehensive Guide to Neural Network Modeling

literature regarding the use of artificial neural networks for the modelling and optimization of food drying processes. The applications;

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