Search Results - (((((((ant OR canton) OR semantic) OR wind) OR cantor) OR anne) OR plans) OR hints) algorithms.

Scheduling problems and solutions

Table of Contents: “…SCHEDULING PROBLEMS AND SOLUTIONS ; SCHEDULING PROBLEMS AND SOLUTIONS ; CONTENTS ; PREFACE ; INTEGRATION OF OPERATION PLANNING AND SCHEDULING IN SUPPLY CHAIN SYSTEMS: A REVIEW ; ABSTRACT ; 1. …”
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Fork Algebras in Algebra, Logic and Computer Science. by Frias, Marcelo Fabián

Table of Contents: “…7.5 A Methodology for Program Construction7.6 Examples; 7.6.1 First Example; 7.6.1.1 Finding the Minimum Element in a List; 7.6.1.2 Finding the Minimum Common Ancestor; 7.6.2 Second Example; 7.6.2.1 Finding the Contiguous Sublists of Maximum Sum; 7.6.2.2 Finding the Longest Plateau; 7.7 A D & C Algorithm for MAXSTA; 7.8 Comparison with Previous Work; Bibliography; Index.…”
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Handbook of industrial engineering equations, formulas, and calculations by Badiru, Adedeji Bodunde, 1952-

Table of Contents: “…Limits; Project Balance Computation; ; Industrial Production Calculations; Learning Curve Models and Computations; Productivity Calculations Using Learning Curves; Takt Time for Production Planning; Production Crew Work Rate Analysis; Case of Multiple Resources Working Together; Calculation of Personnel Requirements; Calculation of Machine Requirements; References ; Forecasting Calculations ; Forecasting Based on Averages; Simple Average Forecast; Regression Analysis; Time-Series Analysis; ; Six Sigma and Lean ; Concept of Six Sigma; Taguchi Loss Function; Statistical Techniques for Six Sigma; Process Capability Analysis for Six Sigma; Lean Principles and Applications; Lean Task Value Rating System; ; Risk Computations; Cost Uncertainties; Decision Tables and Trees; Reliability Calculations; ; Computations for Project…”
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Handbook of constraint programming

Table of Contents: “…Backtracking Search Algorithms (Peter van Beek) -- Chapter 5. Local Search Methods (Holger H. …”
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Hands-On Intelligent Agents with OpenAI Gym : Your Guide to Developing AI Agents Using Deep Reinforcement Learning. by Palanisamy, Praveen

Table of Contents: “…; Understanding what AI means and what's in it in an intuitive way; Supervised learning; Unsupervised learning; Reinforcement learning; Practical reinforcement learning; Agent; Rewards; Environment; State; Model; Value function; State-value function; Action-value function; Policy; Markov Decision Process; Planning with dynamic programming; Monte Carlo learning and temporal difference learning; SARSA and Q-learning; Deep reinforcement learning.…”
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Essentials of modern hearing aids : selection, fitting, and verification by Ricketts, Todd, Bentler, Ruth A., Mueller, H. Gustav

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Biological computation by Lamm, Ehud

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Physician's guide : understanding and working with integrated case managers by Kathol, Roger G., Knutson, Katherine Hobbs, Dehnel, Peter J.

Table of Contents: “…Scripted Dialogue for Children/Youth and Parents/Caregivers -- Appendix 6. Care Plan Development Sheet -- Appendix 7. Measurement of Progress: Goals, Actions, Outcomes -- Appendix 8. …”
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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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Advances in Manufacturing Engineering : Selected, Peer Reviewed Papers from the Conference on Future Engineering, September 25-26, 2014, Korytnica, Poland

Table of Contents: “…The Innovative Design of Suspension Cast Components of Vehicles Made from High-Strength AlZnMgCu Alloy Resistant to an IThreat; ProblemsProblems of Producing Thin-Walled and Elastic Elements by Selective Laser Sintering; Methods of Prototyping Process Using Modern Additive Technologies; Chapter 4: Novel Methods for Measurement and Control in Technical Processes; X-Ray Tomography in the Diagnostics of Roller Bearing Rings; Robot Actions Planning Algorithms in Multi-Agent System; Quality Parameters in Wireless Distributed Control Systems.…”
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Poetry and Mind : Tractatus Poetico-Philosophicus by Dubreuil, Laurent

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Unmanned aircraft systems

Table of Contents: “…1.1 Autonomy Levels for UAS -- 1.2 Overview of Architectures for Autonomous Systems -- 2 Autonomy Architecture for UAS -- 2.1 Low-Level Architecture -- 2.2 High-Level Architecture -- 3 Example of Autonomy Architecture: The ARCAS Project -- 3.1 Low-Level ARCAS Architecture -- 3.2 High-Level ARCAS Architecture -- 3.3 Example of ARCAS Complex Mission: Assembly Operations -- 4 Conclusions -- References -- Chapter 17: Obstacle Avoidance: Static Obstacles -- 1 Introduction -- 2 Avoiding Static Obstacles -- 2.1 Voronoi Diagram -- 2.2 Cell Decomposition -- 2.3 Visibility Graph -- 2.4 Potential Field and Sampling-Based Methods -- 3 Research on Obstacle Avoidance -- 4 Avoidance of Static Obstacles -- 5 Reactive Planning -- 6 Summary -- References -- Chapter 18: Guided Weapon and UAV Navigation and Path-Planning -- 1 Problems of GPS and INS for Missiles and UAVs -- 1.1 Global Positioning System (GPS) Navigation -- 1.2 Inertial Navigation System (INS) -- 1.3 Inertial Navigation Algorithm -- 1.4 GPS/INS Integration -- 2 Principles and Practice of TERPROM and TERCOM -- 2.1 Aircraft and UAV Path Planning -- 3 Tactical Missile Guidance Strategies -- 3.1 CLOS Guidance and Variations -- 3.2 Proportional Navigation (PN) Guidance -- 3.3 Miss Distance (MD) -- 4 Conclusions -- Notation -- Nomenclature -- References -- Chapter 19: Embedded UAS Autopilot and Sensor Systems -- 1 Introduction -- 2 Autopilot Architecture -- 3 Inner-Loop Control Structure -- 3.1 Lateral Autopilot -- 3.2 Longitudinal Autopilot -- 4 On-Board Sensors and Sensor Processing -- 4.1 Angular Rates, Airspeed, and Altitude -- 4.2 Roll and Pitch Angles -- 4.3 Inertial Position and Heading -- 5 GPS Navigation -- 5.1 Straight-Line Path Following -- 5.2 Orbit Following -- 6 Summary -- Acknowledgments -- End Notes -- References -- Part 6: Control.…”
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DEEP LEARNING FOR HEALTHCARE DECISION MAKING.

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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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Smart materials and intelligent systems : selected, peer reviewed papers from the 2011 international conference on smart materials and intelligent systems (SMIS 2011), December 23-...

Table of Contents: “…Effect of Sintering Temperature on Electrical Properties of ZnO Varistor CeramicsApplications of Nanotechnology in Green Energy Manufacturing; Effect of Conservation Cultivation on Accumulation and Distribution of Soil Organic Carbon in Paddy Fields Located in Southwest China; China's Chemical Industry Materials Based on the Content and Security Planning Research; Study of an Inorganic Ion Exchanger Mg2Ti1.25(PO4)3; Synthesis of Li0.6Zn1.2PO4 and its Selectivity to Li+ Exchange; Study of Building Energy-Saving Based on TRIZ…”
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Applied mechanics and industrial technologies : selected, peer reviewed papers from the 2012 International Conference on Applied Mechanics and Manufacturing Technology (AMMT 2012),...

Table of Contents: “…An Assessment of Wet Compression Process in Gas Turbine Systems with an Analytical ModelingAssessment of Hole Quality and Thrust Force when Drilling CFRP/Al Stack Using Carbide Tools; Multi-Objective Optimization of Filament Wound Composite Pressure Vessels Based on Weight and Matrix Cracking/ Burst Pressure Using Imperialist Competitive Algorithm; In Situ Laser Build-Up Welding of Shipboard Crankshafts; Stress and Deformation Analysis for Caster Segment Based on ANSYS; Instable Crack Propagation Analysis with PDS-FEM; Reducing the Manufacturing Cost by Using Combination Die.…”
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Classifying Drinking Water Contaminants for Regulatory Consideration. by Contaminants, Committee on Drinking Water

Table of Contents: “…5 PCCL to CCL: Classification AlgorithmINTRODUCTION -- OVERVIEW OF CLASSIFICATION SCHEMES -- Expert Judgments -- Rule-Based Methods -- Prototype Classification Methods -- Which Strategy to Use? …”
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Smart Embedded Systems and Applications. by Motahhir, Saad

Table of Contents: “…1.3.2: Internal functional safety assessment procedure -- 1.3.3: External or supplier functional safety audit and functional safety assessment -- 1.4: Functional Safety Audit / Assessment Planning -- 1.5: Functional Safety Audit / Assessment Preparation -- 1.6: Functional Safety Audit / Assessment Performance -- 1.7: Functional Safety Audit / Assessment Report and Follow-up -- 1.8: Conclusion -- References -- Chapter 2: Comparison between AUTOSAR Platforms with Functional Safety for Automotive Software Architectures -- 2.1: Introduction -- 2.2: Overview of the Future E/E Architectures…”
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Spoken Natural Language Dialog Systems : a Practical Approach. by Smith, Ronnie W.

Table of Contents: “…; 3.7.2 Integrated Theory; 4 Computational Model; 4.1 Dialog Processing Algorithm; 4.1.1 Motivation and Basic Steps.…”
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D Cookbook. by D. Ruppe, Adam

Table of Contents: “…Performing type conversionsFinding the largest files in a directory; Creating a network client and server; Using Base64 to create a data URI; Generating random numbers; Normalizing a string and performing Unicode comparisons; Searching with regular expressions; Writing a digest utility; Using std.zlib compression; Using the std.json module; Chapter 3: Ranges; Introduction; Using ranges when implementing an algorithm; Creating an input range; Creating an output range; Creating a higher-order range; Putting a range interface on a collection; Creating an input range over a tree structure…”
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