Search Results - (((((((ant OR wantsa) OR antis) OR alter) OR cantor) OR anne) OR halted) OR mantis) algorithms.

Power and energy systems III : selected, peer reviewed papers from the 2013 3rd International Conference on Power and Energy Systems (ICPES 2013), November 23-24, Bangkok, Thailand

Table of Contents: “…Appropriate Electric Energy Conservation Measures for Big Mosques in Riyadh CityBayesian Algorithm Based on Airborne Power Supply System; Study on the Cooling System of Super-Capacitors for Hybrid Electric Vehicle; A Charging Management of Electric Vehicles Based on Campus Survey Data; Back-EMF Position Detection Technology for Brushless DC Motor; Stress State of Turbine Blade Root and Rim Considering Manufacturing Variations; Analysis on a Gas Turbine Sealing Disk Structure and Material Strength; A Kind of Adjustable Electric Heating Pipe Power Electrode Preparation Equipment.…”
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Mathematical Methods in Interdisciplinary Sciences. by Chakraverty, Snehashish

Table of Contents: “…1.2.2.1 Architecture of Single-Layer LgNN Model -- 1.2.2.2 Training Algorithm of Laguerre Neural Network (LgNN) -- 1.2.2.3 Gradient Computation of LgNN -- 1.3 Methodology for Solving a System of Fredholm Integral Equations of Second Kind -- 1.3.1 Algorithm -- 1.4 Numerical Examples and Discussion -- 1.4.1 Differential Equations and Applications -- 1.4.2 Integral Equations -- 1.5 Conclusion -- References -- Chapter 2 Deep Learning in Population Genetics: Prediction and Explanation of Selection of a Population -- 2.1 Introduction -- 2.2 Literature Review -- 2.3 Dataset Description…”
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Industrial engineering and applied research : selected, peer reviewed papers from the 2014 3rd International Conference on Industrial Design and Mechanics Power (3rd ICIDMP 2014),...

Table of Contents: “…Instructional Design Integrated with Quality Function Deployment (QFD) and TRIZ40Structure Design Based on Mechanism and Materials Property; Analysis of the Pressure and the Gasleak of the Piston Ring of a New Double-Rotor Engine; Design Optimization of Hub for 3-Bladed Horizontal Axis Tidal Turbine; A New Method of LCMV Algorithm in GNSS Anti-Interference; Research on Damage Technology of Variable-Structure Following Warhead; Analysis of Geometric Characteristic of Missile Vertical Launching System Guide Rail…”
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Ripple Quick Start Guide : Get Started with XRP and Develop Applications on Ripple's Blockchain by James, Febin John

Table of Contents: “…Simplified consensusLow fee; Reduced foreign exchange cost; Pathfinding algorithm; Adaptable cryptography; Anti-spam mechanism; Potential risks of Ripple; Regulatory issues; Trust Issues; Security vulnerabilities; Problems of being an open protocol; Summary; Chapter 2: Working with Ripple Currency XRP; Types of wallets; Online wallets; Desktop/mobile wallets; Offline wallets; Hardware wallets; Paper wallets; How do I choose my wallet?…”
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Blockchain and the Digital Economy : The Socio-Economic Impact of Blockchain Technology. by Steinmetz, Fred

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Negative binomial regression by Hilbe, Joseph M., 1944-

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Biological computation by Lamm, Ehud

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A Primer on Machine Learning Applications in Civil Engineering by Deka, Paresh Chandra

Table of Contents: “…Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Contents -- Preface -- Acknowledgments -- A Primer on Machine Learning Applications in Civil Engineering -- Author -- 1: Introduction -- 1.1 Machine Learning -- 1.2 Learning from Data -- 1.3 Research in Machine Learning: Recent Progress -- 1.4 Artificial Neural Networks -- 1.5 Fuzzy Logic (FL) -- 1.6 Genetic Algorithms -- 1.7 Support Vector Machine (SVM) -- 1.8 Hybrid Approach (HA) -- Bibliography -- 2: Artificial Neural Networks -- 2.1 Introduction to Fundamental Concepts and Terminologies -- 2.2 Evolution of Neural Networks -- 2.3 Models of ANN -- 2.4 McCulloch-Pitts Model -- 2.5 Hebb Network -- 2.6 Summary -- 2.7 Supervised Learning Network -- 2.7.1 Perceptron Network -- 2.7.2 Adaptive Linear Neuron -- 2.7.3 Back-Propagation Network -- 2.7.4 Radial Basis Function Network -- 2.7.5 Generalized Regression Neural Networks -- 2.7.6 Summary -- 2.8 Unsupervised Learning Networks -- 2.8.1 Introduction -- 2.8.2 Kohonen Self-Organizing Feature Maps -- 2.8.3 Counter Propagation Network -- 2.8.4 Adaptive Resonance Theory Network -- 2.8.5 Summary -- 2.9 Special Networks -- 2.9.1 Introduction -- 2.9.2 Gaussian Machine -- 2.9.3 Cauchy Machine -- 2.9.4 Probabilistic Neural Network -- 2.9.5 Cascade Correlation Neural Network -- 2.9.6 Cognitive Network -- 2.9.7 Cellular Neural Network -- 2.9.8 Optical Neural Network -- 2.9.9 Summary -- 2.10 Working Principle of ANN -- 2.10.1 Introduction -- 2.10.2 Types of Activation Function -- 2.10.3 ANN Architecture -- 2.10.4 Learning Process -- 2.10.5 Feed-Forward Back Propagation -- 2.10.6 Strengths of ANN -- 2.10.7 Weaknesses of ANN -- 2.10.8 Working of the Network -- 2.10.9 Summary -- Bibliography -- 3: Fuzzy Logic -- 3.1 Introduction to Classical Sets and Fuzzy Sets -- 3.1.1 Classical Sets -- 3.1.2 Fuzzy Sets -- 3.1.3 Summary.…”
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Lung cancer and imaging

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Computer Relaying for Power Systems. by Phadke, Arun G.

Table of Contents: “…1.5.2 Delta-sigma ADC -- 1.6 Anti-aliasing filters -- 1.7 Substation computer hierarchy -- 1.8 Summary -- Problems -- References -- 2 Relaying practices -- 2.1 Introduction to protection systems -- 2.2 Functions of a protection system -- 2.3 Protection of transmission lines -- 2.3.1 Overcurrent relays -- 2.3.2 Directional relays -- 2.3.3 Distance relays -- 2.3.4 Phasor diagrams and R-X diagrams -- 2.3.5 Pilot relaying -- 2.4 Transformer, reactor and generator protection -- 2.4.1 Transformer protection -- 2.4.2 Reactor protection -- 2.4.3 Generator protection -- 2.5 Bus protection…”
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Artificial Intelligence in Wireless Communications. by Rondeau, Thomas W.

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Microwave and millimeter wave circuits and systems : emerging design, technologies, and applications

Table of Contents: “…1.1.7 MBF Model -- the Memoryless PA Behavioural Model of ChoiceAcknowledgements; References; 2 Artificial Neural Network in Microwave Cavity Filter Tuning; 2.1 Introduction; 2.2 Artificial Neural Networks Filter Tuning; 2.2.1 The Inverse Model of the Filter; 2.2.2 Sequential Method; 2.2.3 Parallel Method; 2.2.4 Discussion on the ANN's Input Data; 2.3 Practical Implementation -- Tuning Experiments; 2.3.1 Sequential Method; 2.3.2 Parallel Method; 2.4 Influence of the Filter Characteristic Domain on Algorithm Efficiency; 2.5 Robots in the Microwave Filter Tuning; 2.6 Conclusions; Acknowledgement…”
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Digital Signal Processing and Applications. by Stranneby, Dag

Table of Contents: “…2.3.5 Integrating analog-to-digital converters2.3.6 Dither; 2.3.7 Sigma-delta analog-to-digital converters; Summary; Review questions; Solved problems; 3 Adaptive digital systems; Background; Objectives; 3.1 Introduction; 3.1.1 System structure; 3.2 The processor and the performance function; 3.2.1 The adaptive linear combiner; 3.2.2 The performance function; 3.3 Adaptation algorithms; 3.3.1 The method of steepest descent; 3.3.2 Newton's method; 3.3.3 The least mean square algorithm; 3.4 Applications; 3.4.1 Adaptive interference canceling; 3.4.2 Equalizers; 3.4.3 Adaptive beamforming; Summary…”
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Frontiers of manufacturing science and measuring technology IV : selected, peer reviewed papers from the 2014 4th International Conference on Frontiers of Manufacturing Science and...

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Pediatric incontinence : evaluation and clinical management

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Knowledge mining using intelligent agents

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How to measure anything in cybersecurity risk by Hubbard, Douglas W., 1962-, Seiersen, Richard, 1967-

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Chipless radio frequency identification reader signal processing by Karmakar, Nemai Chandra, 1963-

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Machine Learning in Chemical Safety and Health : Fundamentals with Applications. by Wang, Qingsheng

Table of Contents: “…Chapter 3 Flammability Characteristics Prediction Using QSPR Modeling -- 3.1 Introduction -- 3.1.1 Flammability Characteristics -- 3.1.2 QSPR Application -- 3.1.2.1 Concept of QSPR -- 3.1.2.2 Trends and Characteristics of QSPR -- 3.2 Flowchart for Flammability Characteristics Prediction -- 3.2.1 Dataset Preparation -- 3.2.2 Structure Input and Molecular Simulation -- 3.2.3 Calculation of Molecular Descriptors -- 3.2.4 Preliminary Screening of Molecular Descriptors -- 3.2.5 Descriptor Selection and Modeling -- 3.2.6 Model Validation -- 3.2.6.1 Model Fitting Ability Evaluation -- 3.2.6.2 Model Stability Analysis -- 3.2.6.3 Model Predictivity Evaluation -- 3.2.7 Model Mechanism Explanation -- 3.2.8 Summary of QSPR Process -- 3.3 QSPR Review for Flammability Characteristics -- 3.3.1 Flammability Limits -- 3.3.1.1 LFLT and LFL -- 3.3.1.2 UFLT and UFL -- 3.3.2 Flash Point -- 3.3.3 Auto-ignition Temperature -- 3.3.4 Heat of Combustion -- 3.3.5 Minimum Ignition Energy -- 3.3.6 Gas-liquid Critical Temperature -- 3.3.7 Other Properties -- 3.4 Limitations -- 3.5 Conclusions and Future Prospects -- References -- Chapter 4 Consequence Prediction Using Quantitative Property-Consequence Relationship Models -- 4.1 Introduction -- 4.2 Conventional Consequence Prediction Methods -- 4.2.1 Empirical Method -- 4.2.2 Computational Fluid Dynamics (CFD) Method -- 4.2.3 Integral Method -- 4.3 Machine Learning and Deep Learning-Based Consequence Prediction Models -- 4.4 Quantitative Property-Consequence Relationship Models -- 4.4.1 Consequence Database -- 4.4.2 Property Descriptors -- 4.4.3 Machine Learning and Deep Learning Algorithms -- 4.5 Challenges and Future Directions -- References -- Chapter 5 Machine Learning in Process Safety and Asset Integrity Management -- 5.1 Opportunities and Threats -- 5.2 State-of-the-Art Reviews -- 5.2.1 Artificial Neural Networks (ANNs).…”
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Integral equations, boundary value problems and related problems : dedicated to Professor Chien-Ke Lu on the occasion of his 90th birthday : Yinchuan, Ningxia, China, 19-23 August...

Table of Contents: “…Dong, X.Y. Yao and C.F. Wang -- Anti-plane problem of two collinear cracks in a functionally graded coating-substance structure / S.H. …”
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