Search Results - (((((((ant OR wind) OR semantic) OR arte) OR cantor) OR anne) OR maarten) OR mantis) algorithms.

  1. 201

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

    Published 2023
    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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  2. 202

    Language and logos : studies in theoretical and computational linguistics

    Published 2010
    Table of Contents: “…CONTENTS -- Preface -- Part I Syntax -- A Spurious Genitive Puzzle in Polish -- Semantic Type Effects on Crossing Movement in German -- Me and Chomsky -- On the Typology of Verb Second -- Movement from Verb-Second Clauses Revisited -- Spurious Ambiguities and the Parentheticals Debate -- Part II Semantics -- On Squeamishness of the Royal Kind -- Information Structure of schon -- When- Clauses, Factive Verbs and Correlates -- The Proof Theory of Partial Variables -- Brentano's Apple -- How to Interpret Expletive Negation under bevor in German…”
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  3. 203

    Literature and encyclopedism in Enlightenment Britain : the pursuit of complete knowledge by Rudy, Seth, 1978-

    Published 2014
    Table of Contents: “…Introduction: concepts of completeness -- Complete bodies, whole arts, and the limits of epic -- Worlds apart: epic and encyclopedia in the Augustan age -- Mid-century experiments in encyclopedism -- Collapse and reconstitution: epic and encyclopedia revisited -- Coda: the angel and the algorithm -- Appendix.…”
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  4. 204

    Analysis of biological data : a soft computing approach

    Published 2007
    Table of Contents: “…Feature selection for cancer classification using ant colony optimization and support vector machines / A. …”
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  5. 205

    Advanced Methods and Technologies for Agent and Multi-Agent Systems. by Edited by

    Published 2013
    Table of Contents: “…""Role and Member Selection in Team Formation Using Resource Estimation""""Incorporating Explicit Coordination Mechanisms by Agents to Obtain Green Waves""; ""Communication Leading to Coalition Nash Equilibrium I""; ""Agent-Based Optimization""; ""An Agent-Based Cooperative Population Learning Algorithm for Vehicle Routing Problem with Time Windows""; ""Mobile Agent-based Dynamic Resource Allocation Method for Query Optimization in Data Grid Systems""; ""Memetic Multi-Agent Computing in Difficult Continuous Optimisation""; ""Web Services and Semantic Web""…”
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  6. 206

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

    Published 2012
    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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  7. 207

    Fuzzy neural network theory and application by Liu, Puyin

    Published 2004
    Table of Contents: “…Chapter II Fuzzy Neural Networks for Storing and ClassifyingS2.1 Two layer max-min fuzzy associative memory; 2.1.1 FAM with threshold; 2.1.2 Simulation example; S2.2 Fuzzy 6-learning algorithm; 2.2.1 FAM's based on 'V -- / '; 2.2.2 FAM's based on 'V -- *'; S2.3 BP learning algorithm of FAM's; 2.3.1 Two analytic functions; 2.3.2 BP learning algorithm; S2.4 Fuzzy ART and fuzzy ARTMAP; 2.4.1 ART1 architecture; 2.4.2 Fuzzy ART; 2.4.3 Fuzzy ARTMAP; 2.4.4 Real examples; References; Chapter III Fuzzy Associative Memory-Feedback Networks; S3.1 Fuzzy Hopfield networks.…”
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  8. 208

    Photography from the Turin Shroud to the Turing Machine. by Toister, Yanai

    Published 2019
    Table of Contents: “…The Landscapes of Code -- 5. Photography as Algorithmic Art -- Conclusion -- References -- Index -- Back Cover…”
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  9. 209

    Artificial intelligence for big data : complete guide to automating big data solutions using artificial intelligence techniques. by Deshpande, Anand

    Published 2018
    Table of Contents: “…Snowball stemming -- Lancaster stemming -- Lovins stemming -- Dawson stemming -- Lemmatization -- N-grams -- Feature extraction -- One hot encoding -- TF-IDF -- CountVectorizer -- Word2Vec -- CBOW -- Skip-Gram model -- Applying NLP techniques -- Text classification -- Introduction to Naive Bayes' algorithm -- Random Forest -- Naive Bayes' text classification code example -- Implementing sentiment analysis -- Frequently asked questions -- Summary -- Chapter 7: Fuzzy Systems -- Fuzzy logic fundamentals -- Fuzzy sets and membership functions -- Attributes and notations of crisp sets -- Operations on crisp sets -- Properties of crisp sets -- Fuzzification -- Defuzzification -- Defuzzification methods -- Fuzzy inference -- ANFIS network -- Adaptive network -- ANFIS architecture and hybrid learning algorithm -- Fuzzy C-means clustering -- NEFCLASS -- Frequently asked questions -- Summary -- Chapter 8: Genetic Programming -- Genetic algorithms structure -- KEEL framework -- Encog machine learning framework -- Encog development environment setup -- Encog API structure -- Introduction to the Weka framework -- Weka Explorer features -- Preprocess -- Classify -- Attribute search with genetic algorithms in Weka -- Frequently asked questions -- Summary -- Chapter 9: Swarm Intelligence -- Swarm intelligence -- Self-organization -- Stigmergy -- Division of labor -- Advantages of collective intelligent systems -- Design principles for developing SI systems -- The particle swarm optimization model -- PSO implementation considerations -- Ant colony optimization model -- MASON Library -- MASON Layered Architecture -- Opt4J library -- Applications in big data analytics -- Handling dynamical data -- Multi-objective optimization -- Frequently asked questions -- Summary -- Chapter 10: Reinforcement Learning -- Reinforcement learning algorithms concept.…”
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  10. 210

    Hierarchical Protection for Smart Grids. by Ma, Jing

    Published 2018
    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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  11. 211

    Focus on artificial neural networks

    Published 2011
    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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  12. 212

    Monte Carlo methods and applications : proceedings of the 8th IMACS Seminar on Monte Carlo Methods, August 29-September 2, 2011, Borovets, Bulgaria

    Published 2013
    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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  13. 213

    Implementing cryptography using Python by Bray, Shannon, 1972-

    Published 2020
    Table of Contents: “…Chapter 2 Cryptographic Protocols and Perfect Secrecy -- The Study of Cryptology -- Understanding Cryptography -- Cryptography's Famous Family: Alice and Bob -- Diffie-Hellman -- Data Origin Authentication -- Entity Authentication -- Symmetric Algorithms -- Asymmetric Algorithms -- The Needham-Schroeder Protocols -- The Otway-Rees Protocol -- Kerberos -- Multiple-Domain Kerberos -- X.509 -- Formal Validation of Cryptographic Protocols -- Configuring Your First Cryptographic Library -- Understanding Cryptanalysis -- Brute-Force Attacks -- Side-Channel Attacks -- Social Engineering…”
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  14. 214

    Metaheuristics for vehicle routing problems. by Labadie, Nacima

    Published 2015
    Table of Contents: “…Memetic algorithm; 4.1.3. Memetic algorithm with population management; 4.1.4. …”
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  15. 215

    Industrial control systems

    Published 2011
    Table of Contents: “…EXTRACTIVE FERMENTATION PROCESS FOR BIOETHANOL PRODUCTION ; 3. PLANT MODEL BASED ON ANN ; 3.1. ANN Configurations.…”
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  17. 217

    Communicating process architectures 2002. by World Occam And Transputer User Group. Technical Meeting (25th: 2002: University Of Reading, U. K.)

    Published 2002
    Table of Contents: “…A Communicating Threads (CT) Case Study: JIWYPrioritised Dynamic Communicating Processes -- Part I; Prioritised Dynamic Communicating Processes -- Part II; Implementing a Distributed Algorithm for Detection of Local Knots and Cycles in Directed Graphs; Author Index.…”
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  18. 218

    Polynomial root-finding and polynomiography by Kalantari, Bahman

    Published 2009
    Table of Contents: “…Approximation of square-roots and their visualizations -- The fundamental theorem of algebra and a special case of Taylor's theorem -- Introduction to the basic family and polynomiography -- Equivalent formulations of the basic family -- Basic family as dynamical system -- Fixed points of the basic family -- Algebraic derivation of the basic family and characterizations -- The truncated basic family and the case of Halley family -- Characterizations of solutions of homogeneous linear recurrence relations -- Generalization of Taylor's theorem and Newton's method -- The multipoint basic family and its order of convergence -- A computational study of the multipoint basic family -- A general determinantal lower bound -- Formulas for approximation of pi based on root-finding algorithms -- Bounds on roots of polynomials and analytic functions -- A geometric optimization and its algebraic offsprings -- Polynomiography : algorithms for visualization of polynomial equations -- Visualization of homogeneous linear recurrence relations -- Applications of polynomiography in art, education, science, and mathematics -- Approximation of square-roots revisited -- Further applications and extensions of the basic family and polynomiography.…”
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  19. 219

    Learning-based local visual representation and indexing by Rongrong, Ji, Yao, Hongxun, Gao, Yue, Duan, Ling-Yu, Dai, Qionghai

    Published 2014
    Table of Contents: “…3.4.1 Cross-database Case3.4.2 Incremental Transfer; 3.5 Experiments; 3.5.1 Quantitative results; 3.6 Summary; Chapter 4: Supervised Dictionary Learning via Semantic Embedding ; 4.1 Introduction; 4.2 Semantic Labeling Propagation; 4.2.1 Density Diversity Estimation ; 4.3 Supervised Dictionary Learning; 4.3.1 Generative Modeling ; 4.3.2 Supervised Quantization ; 4.4 Experiments; 4.4.1 Database and Evaluations; 4.4.2 Quantitative Results; 4.5 Summary; Chapter 5: Visual Pattern Mining; 5.1 Introduction; 5.2 Discriminative 3D Pattern Mining; 5.2.1 The Proposed Mining Scheme.…”
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  20. 220

    Automatic Text Summarization by Torres-Moreno, Juan-Manuel

    Published 2014
    Table of Contents: “…Machine learning approaches; 3.3. State-of-the-art approaches; 3.4. Latent semantic analysis; 3.5. …”
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