Search Results - (((((((ant OR want) OR santis) OR wind) OR cantor) OR anne) OR shape) OR hints) algorithms.

Advanced composites for marine engineering : selected, peer reviewed papers from the 1st International Conference on Advanced Composites for Marine Engineering (ICACME 2013), Septe...

Table of Contents: “…Advanced Composites for Marine Engineering; Preface; Table of Contents; Chapter 1: Numerical Methods and Analysis, Optimization, Algorithm and Modelling for Materials and Structures; An Efficient Analytical Failure Analysis Approach for Multilayered Composite Offshore Production Risers; Composite Wind Turbine Blade Aerodynamic and Structural Integrated Design Optimization Based on RBF Meta-Model; Rapid Predicting the Impact Behaviors of Marine Composite Laminates; Study on the Factors of Residual Thermal Stress on Single Lap Joint.…”
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Fast sequential Monte Carlo methods for counting and optimization by Rubinstein, Reuven Y.

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Advanced Control and Optimization Paradigms for Energy System Operation and Management. by Pal, Kirti

Table of Contents: “…3.4: Procedure -- 3.4.1: Solar Photovoltaic System -- 3.4.2: Wind Turbine -- 3.4.3: Battery Energy Storage System -- 3.4.4: Diesel Generator -- 3.5: Modelling of the HRES with Different kinds of Batteries -- 3.6: System Metrics -- 3.6.1: Economic Metrics -- 3.6.2: Technical Performance of the Overall System -- 3.6.3: Contribution of Solar PV -- 3.6.4: Contribution of Wind Turbine and Diesel Generator -- 3.6.5: Technical Specification of Different Batteries Used in HRES -- 3.7: State of Charge of Battery -- 3.8: Emissions through a Different System with Different Batteries -- 3.9: Conclusions…”
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Multi-agent machine learning : a reinforcement approach

Table of Contents: “…2.12 Eligibility TracesReferences; Chapter 3: Learning in Two-Player Matrix Games; 3.1 Matrix Games; 3.2 Nash Equilibria in Two-Player Matrix Games; 3.3 Linear Programming in Two-Player Zero-Sum Matrix Games; 3.4 The Learning Algorithms; 3.5 Gradient Ascent Algorithm; 3.6 WoLF-IGA Algorithm; 3.7 Policy Hill Climbing (PHC); 3.8 WoLF-PHC Algorithm; 3.9 Decentralized Learning in Matrix Games; 3.10 Learning Automata; 3.11 Linear Reward-Inaction Algorithm; 3.12 Linear Reward-Penalty Algorithm; 3.13 The Lagging Anchor Algorithm; 3.14 L R-I Lagging Anchor Algorithm; References.…”
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Pervasive Computing in Cognitive Communications Applications. by Ghinea, George

Table of Contents: “…Cover -- Guest editorial -- Single-loop sigma delta modulator design and verification for cognitive IoT applications -- Efficient task scheduling on virtual machine in cloud computing environment -- High gain switched beam Yagi-Uda antenna for millimeter wave communications -- PAPR reduction using OQAM for spectrum sensing -- Energy efficiency in cloud data centres using parallel hybrid Jaya algorithm -- Soft computing based audio signal analysis for accident prediction -- Kuznets curve with parabola shaped ultra-wideband antenna with defected ground plane for communications…”
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Analysis of biological data : a soft computing approach

Table of Contents: “…Feature selection for cancer classification using ant colony optimization and support vector machines / A. …”
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Maritime engineering and technology : proceedings of MARTECH 2011, 1st International Conference on Maritime Technology and Engineering, Lisbon, Portugal, 10-12 May 2011

Table of Contents: “…Considering disabled people in sailing yacht designHull shape design of a compressed natural gas ship; Short sea shipping route and stowage plan optimization; Non-linear optimization applied to preliminary ship design; Planning a fleet of containerships for a given set of ports; Design development of an oil and garbage collector and boom layer vessel; Generation of an adaptive triangular mesh from a parametric surface; Ship propulsion & control; Controllable pitch propeller control with neural network algorithm.…”
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Machine learning with R : learn how to use R to apply powerful machine learning methods and gain an insight into real-world applications by Lantz, Brett

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Smart intelligent computing and communication technology

Table of Contents: “…Intro -- Title Page -- Preface -- Committees -- Contents -- Evolution of Computing Intelligence -- A Novel Compression Algorithm Based on Bio-Orthogonal Transform and Encoding Methods for Computed Tomography Images -- Performance Analysis of K-Nearest Neighbor Classification Algorithms for Bank Loan Sectors -- An Effective Comparative Analysis of Data Preprocessing Techniques in Network Intrusion Detection System Using Deep Neural Networks -- Identification of Sickle Cells in Erythrocytes Images Using Shape Descriptors -- Impact of Personality Traits on Interpersonal Dependency…”
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Reconstructing evolution : new mathematical and computational advances

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Rediscovering mathematics : you do the math by Simonson, Shai

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Visual Data Mining : The VisMiner Approach. by Anderson, Russell K.

Table of Contents: “…Regression Analysis -- The Regression Model -- Correlation and Causation -- Algorithms for Regression Analysis -- Assessing Regression Model Performance -- Model Validity -- Looking Beyond R2 -- Polynomial Regression -- Artificial Neural Networks for Regression Analysis -- Dataset Preparation -- Tutorial -- A Regression Model for Home Appraisal -- Modeling with the Right Set of Observations -- Exercise 6.1 -- ANN Modeling -- The Advantage of ANN Regression -- Top-Down Attribute Selection -- Issues in Model Interpretation -- Model Validation -- Model Application -- Summary…”
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Numerical methods for viscosity solutions and applications

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DSP with Python Programming. by Charbit, Maurice

Table of Contents: “…Gaussian linear case: Kalman algorithm; 3.5. Discrete finite Markov case; 4 Monte-Carlo Methods; 4.1. …”
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Artificial intelligence with Python : build real-world artificial intelligence applications with Python to intelligently interact with the world around you by Joshi, Prateek

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MATLAB for Machine Learning. by Ciaburro, Giuseppe

Table of Contents: “…Multiple linear regression with categorical predictorPolynomial regression; Regression Learner App; Summary; Chapter 5: Pattern Recognition through Classification Algorithms; Predicting a response by decision trees; Probabilistic classification algorithms -- Naive Bayes; Basic concepts of probability; Classifying with Naive Bayes; Bayesian methodologies in MATLAB; Describing differences by discriminant analysis; Find similarities using nearest neighbor classifiers; Classification Learner app; Summary; Chapter 6: Identifying Groups of Data Using Clustering Methods; Introduction to clustering.…”
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Hierarchical Protection for Smart Grids. by Ma, Jing

Table of Contents: “…3.3 Local Area Protection for Centralized Renewable Energy3.3.1 Connection Form of a Wind Farm and its Protection Configuration; 3.3.2 Adaptive Distance Protection Scheme for Wind Farm Collector Lines; 3.3.3 Differential Protection Scheme for Wind Farm Outgoing Transmission Line; 3.4 Local Area Protection for Distributed Renewable Energy; 3.4.1 Adaptive Protection Approach for a Distribution Network Containing Distributed Generation; 3.4.2 Islanding Detection Method; 3.5 Summary; References; Chapter 4 Topology Analysis; 4.1 Introduction; 4.2 Topology Analysis for the Inner Substation.…”
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Signal Design for Modern Radar Systems. by Alaee-Kerahroodi, Mohammad

Table of Contents: “…Intro -- Introduction -- Practical Signal Design -- The Why -- The How -- The What -- Radar Application Focus Areas -- Designing Signals with Good Correlation Properties -- Signal Design to Enhance SINR -- Spectral Shaping and Coexistence with Communications -- Automotive Radar Signal Processing and Sensing for Autonomous Vehicles -- What this Book Offers -- References -- Convex and Nonconvex Optimization -- Optimization Algorithms -- Gradient Descent Algorithm -- Newton's Method -- Mirror Descent Algorithm -- Power Method-Like Iterations -- Majorization-Minimization Framework…”
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Focus on artificial neural networks

Table of Contents: “…ARTIFICIAL NEURAL NETWORKS (ANNS) -- 3. MICROEMULSIONS -- 4. APPLICATION OF ANNS IN THE DEVELOPMENT OF MICROEMULSION DRUG DELIVERY SYSTEMS -- 4.1. …”
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Monte Carlo methods and applications : proceedings of the 8th IMACS Seminar on Monte Carlo Methods, August 29-September 2, 2011, Borovets, Bulgaria

Table of Contents: “…9.3 General Description of the Coupled Atmosphere Fire Modeling and WRF-Fire9.4 Wind Simulation Approach; 9.5 Conclusion; 10 Wireless Sensor Network Layout; 10.1 Introduction; 10.2 Wireless Sensor Network Layout Problem; 10.3 ACO for WSN Layout Problem; 10.4 Experimental Results; 10.5 Conclusion; 11 A Two-Dimensional Lorentzian Distribution for an Atomic Force Microscopy Simulator; 11.1 Introduction; 11.2 Modeling Oxidation Kinetics; 11.3 Development of the Lorentzian Model; 11.3.1 Algorithm for the Gaussian Model; 11.3.2 Development of the Lorentzian Model; 11.4 Conclusion.…”
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