Search Results - (((((((anti OR wanting) OR ken) OR mantis) OR cantor) OR anne) OR warte) OR wanting) algorithms.

Hands-On Reinforcement Learning with Python : Master Reinforcement and Deep Reinforcement Learning Using OpenAI Gym and TensorFlow. by Ravichandiran, Sudharsan

Table of Contents: “…Solving the taxi problem using Q learningSARSA; Solving the taxi problem using SARSA; The difference between Q learning and SARSA; Summary; Questions; Further reading; Chapter 6: Multi-Armed Bandit Problem; The MAB problem; The epsilon-greedy policy; The softmax exploration algorithm; The upper confidence bound algorithm; The Thompson sampling algorithm; Applications of MAB; Identifying the right advertisement banner using MAB; Contextual bandits; Summary; Questions; Further reading; Chapter 7: Deep Learning Fundamentals; Artificial neurons; ANNs; Input layer; Hidden layer; Output layer.…”
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Enterprise artificial intelligence transformation : a playbook for the next generation of business and technology leaders by Haq, Rashed

Table of Contents: “…Types of Uses for Machine Learning -- Types of Machine Learning Algorithms -- Supervised, Unsupervised, and Semisupervised Learning -- Making Data More Useful -- Semantic Reasoning -- Applications of AI -- PART II Artificial Intelligence in the Enterprise -- Chapter 3 AI in E-Commerce and Retail -- Digital Advertising -- Marketing and Customer Acquisition -- Cross-Selling, Up-Selling, and Loyalty -- Business-to-Business Customer Intelligence -- Dynamic Pricing and Supply Chain Optimization -- Digital Assistants and Customer Engagement -- Chapter 4 AI in Financial Services -- Anti-Money Laundering.…”
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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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Innovations in Material Science, Applied Mechanics, Control and Information Technologies

Table of Contents: “…Identifying Significant Control Factors of Particle Swarm Optimization Algorithms in Solving Permutation Flowshop Scheduling Problems; Energy Optimal Control of PMSM Drive for Time-Varying Load Torque; Anti-Theft and Temperature Control of Car Wheel; The Measurement of the Fatigue Crack-Tip Displacement and Strain Fields under High Frequency Resonant Loading Applying DIC Method; Comparative Investigation of an Automated Oceanic Wave Surface Glider Robot Influence on Resistance Prediction Using CFD Method; Optimal the Multiple Performances in EDM for SKH57 Using Grey Relational Analysis.…”
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Smart buildings, smart communities and demand response

Table of Contents: “…Demand Response in Smart Zero Energy Buildings and Grids / Nikos Kampelis -- DR in Smart and Near-zero Energy Buildings: The Leaf Community / Nikos Kampelis, Konstantinos Gobakis, Vagias Vagias, Denia Kolokotsa, Laura Standardi, Daniela Isidori, Cristina Cristalli, Fabio Maria Montagnino, Filippo Paredes, Pietro Muratore, Luca Venezia, Marina Kyprianou Dracou, Alaric Montenon, Andri Pyrgou, Theoni Karlessi, Mattheos Santamouris -- Performance of Industrial and Residential Near-zero Energy Buildings / Nikos Kampelis, Konstantinos Gobakis, Vagias Vagias, Denia Kolokotsa, Laura Standardi, Daniela Isidori, Cristina Cristalli, Fabio Maria Montagnino, Filippo Paredes, Pietro Muratore, Luca Venezia, Marina Kyprianou Dracou, Alaric Montenon, Andri Pyrgou, Theoni Karlessi, Mattheos Santamouris -- HVAC Optimization Genetic Algorithm for Industrial Near-Zero Energy Building Demand Response / Nikos Kampelis, Nikolaos Sifakis, Denia Kolokotsa, Konstantinos Gobakis, Konstantinos Kalaitzakis, Daniela Isidori, Cristina Cristalli -- Smart Grid/Community Load Shifting GA Optimization Based on Day-ahead ANN Power Predictions / Nikos Kampelis, Elisavet Tsekeri, Denia Kolokotsa, Konstantinos Kalaitzakis, Daniela Isidori, Cristina Cristalli -- Conclusions and Recommendations.…”
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Selected papers of Alan Hoffman with commentary by Hoffman, Alan J.

Table of Contents: “…Fulkerson and Rosa Oppenheim -- A generalization of max flow-min cut -- On lattice polyhedra III: blockers and anti-blockers of lattice clutters -- Local unimodularity in the matching polytope / with Rosa Oppenheim -- A fast algorithm that makes matrices optimally sparse / with S. …”
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Numerical linear algebra with applications : using MATLAB by Ford, William H.

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The Theory of Critical Phenomena : an Introduction to the Renormalization Group. by Binney, J. J.

Table of Contents: “…4.2.2 General structure of numerical algorithms -- 4.3 Monte Carlo methods -- 4.3.1 The Metropolis algorithm -- 4.4 Molecular dynamics -- 4.4.1 Ergodicity and integrability -- 4.4.2 From microcanonical to canonical averages -- 4.5 Langevin equations -- 4.5.1 Comparison of the Langevin and molecular-dynamics methods -- 4.6 Independence of configurations -- 4.6.1 Correlations along the path -- 4.6.2 Critical slowing down -- 4.6.3 The Swendsen-Wang algorithm -- 4.6.4 The Wolff algorithm -- 4.7 Calculation of critical exponents from simulations -- Problems -- 5 Real-space renormalization.…”
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Robotic Control for Industrial and Service Applications by Wang, Hesheng

Table of Contents: “…Cover; Guest editorial; Robot learning human stiffness regulation for hybrid manufacture; Neurodynamics-based leader-follower formation tracking of multiple nonholonomic vehicles; Visual servoing of dynamic wheeled mobile robots with anti-interference finite-time controllers; Fuzzy model predictive control for 2-DOF robotic arms; Design of the tip state estimator for hybrid-structured flexible manipulator based on SDFT and FLAKF; Nonlinear time-optimal trajectory planning for varying-rope-length overhead cranes…”
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Fast sequential Monte Carlo methods for counting and optimization by Rubinstein, Reuven Y.

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Synthetic Impulse and Aperture Radar (SIAR) : a Novel Multi-Frequency MIMO Radar. by Chen, Baixiao

Table of Contents: “…Cover; Title Page; Copyright; Contents; About the Authors; Preface; Acknowledgments; Chapter 1 Introduction; 1.1 Development of Modern Radar; 1.2 Basic Features of SIAR; 1.3 Four Anti Features of SIAR; 1.3.1 Anti-stealth of SIAR; 1.3.2 Anti-reconnaissance of SIAR; 1.3.3 Anti-ARM of SIAR; 1.3.4 Anti-interference of SIAR; 1.4 Main Types of MIMO Radar; 1.5 SIAR and MIMO Radar; 1.6 Organization of This Book; References; Chapter 2 Radar Common Signal Waveform and Pulse Compression; 2.1 Mathematical Form and its Classification of Radar Signal; 2.1.1 Signal Mathematical Form.…”
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Epistemological Foundations of Mathematical Experience

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Advances in material engineering and mechanical engineering : selected, peer reviewd papers from the International Conference on Material Engineering and Mechanical Engineering, Au...

Table of Contents: “…Experimental Studies and Technology Process on Phosphor-Gypsum Decomposition for Producing Sulfuric Acid and LimeCRH VIP Seats Human-Machine Scale Analysis; Air Combat Situation Assessment by Gray Fuzzy Bayesian Network; The Research on Chaotic Signal Tracking Algorithm for SR-UKF-PF; Integrated Guidance, Control and Maneuver for Anti-Vessel Missiles Based on Backstepping Method; Integrate Uncertainty in the Process of Prognostics for Electronics; Keywords Index; Authors Index…”
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Scala for Machine Learning - Second Edition. by Nicolas, Patrick R.

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Brain damage : causes, management and prognosis

Table of Contents: “…BRAIN DAMAGE; BRAIN DAMAGE; Contents ; Preface ; Reorganization of Elementary Functions (REF) after Brain Injury: Implications for the Therapeutic Interventions and Prognosis of Brain Injured Patients Suffering Cognitive Impairments ; Abstract ; Introduction; Conceptualisations of Posttraumatic Functional Recovery ; Functional Localization and Recovery ; Mechanisms of Posttraumatic Functional Recovery ; The REF-Model ; Elementary Functions ; Algorithmic Strategies ; Reorganization of Elementary Functions (REF) ; Algorithmic Modules.…”
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Chipless radio frequency identification reader signal processing by Karmakar, Nemai Chandra, 1963-

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RFID systems : research trends and challenges

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Artificial Neural Network Applications for Software Reliability Prediction. by Bisi, Manjubala

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Artificial intelligent techniques for electric and hybrid electric vehicles

Table of Contents: “…2.6 PID Controller -- 2.7 Fuzzy Control -- 2.8 Auto-Tuning Type Fuzzy PID Controller -- 2.9 Genetic Algorithm -- 2.10 Artificial Neural Network-Based Controller -- 2.11 BLDC Motor Speed Controller With ANN-Based PID Controller -- 2.11.1 PID Controller-Based on Neuro Action -- 2.11.2 ANN-Based on PID Controller -- 2.12 Analysis of Different Speed Controllers -- 2.13 Conclusion -- References -- Chapter 3 Optimization Techniques Used in Active Magnetic Bearing System for Electric Vehicles -- 3.1 Introduction -- 3.2 Basic Components of an Active Magnetic Bearing (AMB) -- 3.2.1 Electromagnet Actuator…”
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Introduction to graph and hypergraph theory by Voloshin, Vitaly I. (Vitaly Ivanovich), 1954-

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