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Analysis and Improvement of Feed-Forward Network Training

training algorithms are implemented in Visual Studio 2005, and tested with universally accepted data files. It is observed that the Improvement;

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Online Voltage Stability Assessment Using ANN and Continuation Power Flow

University" and the Power System Analysis Toolbox. This implementation generates the nose curves, used for voltage stability analysis, for IEEE 30;

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Geotechnics of Soft Soils: Focus on Ground Improvement

experimental programmes (2000-2004). The EC-funded Marie Curie Research Training Network AMGISS (Advanced Modelling of Ground Improvement on Soft Soils;

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Soft Starting of Induction Motors

in torque were reduced significantly.Radial basis and feed forward neural networks werecompared for off-line and on-line training, trainingtime;

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New Developments in Computer Networks

This new book presents and discusses current research in the study of computer networks. Topics discussed include an in-depth analysis;

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Big Data Analytics in Cybersecurity

in different aspects of cybersecurity including network forensics, root-cause analysis, and security training. Next it discusses big data challenges;

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Look Forward Beyond Lean and Six Sigma

culture. It, in turn, needs Six Sigma, Lean and TOC methodologies to be the fuel for the improvement engine that drives the company forward. Any;

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Doing Social Network Research

? If so, this is the book for you! With straight-forward guidance on research design and data collection, as well as social network analysis;

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Big Book Of Six Sigma Training Games

Pareto charts and Failure Mode Effects Analysis (FMEA).;

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Construction, Operation and Maintenance of Network System(Junior Level)

of network knowledge, the accumulation of network skills, and the improvement of professionalism. Through the complete process from the elaboration;

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Feed Forward . Coal Harbour, CD

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Codeless Deep Learning with KNIME

comprehensive guide to the KNIME GUI and KNIME deep learning integration, helping you build neural network models without writing any code. It'll guide;

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Return on Investment in Training and Performance Improvement Programs

The second edition of this bestselling book, 'Return on Investment in Training and Performance Improvement Programs,' guides you through a;

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Quality Improvement in Neonatal and Perinatal Medicine, An Issue of Clinics in Perinatology

Methodology; Human Factors in Quality Improvement, Random Safety Audits, Root Cause Analysis, and Failure Mode and Effects Analysis; Collaboration;

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Using Data in Schools to Inform Leadership and Decision Making

instructional practice? In what ways does good data collection and analysis feed into successful continuous improvement and holistic systems thinking;

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Neural Network Methods in Natural Language Processing

. The first half of the book (Parts I and II) covers the basics of supervised machine learning and feed-forward neural networks, the basics;

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Neural Network Methods in Natural Language Processing

. The first half of the book (Parts I and II) covers the basics of supervised machine learning and feed-forward neural networks, the basics;

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Recent Advances in Swarm Intelligence and Evolutionary Computation

optimization, training of feed-forward neural networks, damage and stiffness identification, synthesis of cross-ambiguity functions by the bat;

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Breakthrough Improvement with QI Macros and Excel

improvement--no need to rely on expensive training in a new methodology. Free video training and a 90-day trial version of QI Macros for Excel can;

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Ultra Wide Band Band Pass Filter

controller. Feed forward neural network architecture is chosen for the design of controller, which is trained by a popular back propagation algorithm;

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Collaborative Strategic Improvement through Network Action Learning

Improvement is fundamental to the competitiveness of networks and requires the participating firms to collaborate in identifying and;

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Evolutionary Machine Learning Techniques

machines, evolutionary feature selection, artificial neural networks including feed-forward neural networks, multi-layer perceptron, probabilistic;

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Evolutionary Machine Learning Techniques

machines, evolutionary feature selection, artificial neural networks including feed-forward neural networks, multi-layer perceptron, probabilistic;

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The Sorghum Genome

in genome sequencing and analysis, public and private genomic resources and how all this information is leading to direct outcomes for plant;

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The Sorghum Genome

in genome sequencing and analysis, public and private genomic resources and how all this information is leading to direct outcomes for plant;

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Researching and Enacting Change in Postsecondary Education

changes in teaching practices. Written by participants in a series of ground-breaking social network analysis (SNA) workshops, Researching and;

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Animal Feed Contamination

fodder by microorganisms and animal by-products. Analysis of contamination by persistent organic pollutants and toxic metals follows in part two;

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