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81
Data mining with decision trees : theory and applications
Published 2008Table of Contents: “…2.1 Algorithmic Framework for Decision Trees2.2 Stopping Criteria; 3. …”
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82
Understanding Artificial Intelligence.
Published 2020Table of Contents: “…Small but Strong: Understanding How Ants Find Their Way -- Multi-Agent Systems -- The Algorithm and the Ant -- Just Like in the Ant Colony -- Calculating a Path With Ants -- The More the Merrier! …”
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83
Modern optimization methods for science, engineering and technology
Published 2020Table of Contents: “…Implementing the traveling salesman problem using a modified ant colony optimization algorithm -- 5.1. ACO and candidate list -- 5.2. …”
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84
Artificial neural systems : principle and practice
Published 2015Table of Contents: “…INTRODUCTIONDENSITY BASED ALGORITHMS: CLUSTERING ALGORITHMS; NATURE-BASED ALGORITHMS; Evolutionary Algorithm and Programming ; Genetic Algorithm; GA Operators; APPLICATIONS OF GENETIC ALGORITHM; NETWORK METHOD: EDGES AND NODES; MULTI-LAYERED PERCEPTRON; REAL-TIME APPLICATIONS OF STATE-OF-THE-ART ANN SYSTEMS; DEFINITION OF ARTIFICIAL NEURAL NETWORKS (ANN); Intelligence; An Artificial Neural Network (ANN) system; PERFORMANCE MEASURES; Receiver's Operating Characteristics (ROC); Hypothesis Testing; Chi-squared (Goodness-of-fit) Test; CONFLICT OF INTEREST; ACKNOWLEDGEMENTS; REFERENCES…”
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85
Generalized Network Design Problems : Modeling and Optimization.
Published 2012Table of Contents: “…3.2 An efficient transformation of the GTSP into the TSP3.3 An exact algorithm for the Generalized Traveling Salesman Problem; 3.4 Integer programming formulations of the GTSP; 3.4.1 Formulations based on the properties of Hamiltonian tours; 3.4.2 Flow based formulations; 3.4.3 A local-global formulation; 3.5 Solving the Generalized Traveling Salesman Problem; 3.5.1 Reinforcing ant colony system for solving the GTSP; 3.5.2 Computational results; 3.5.3 A hybrid heuristic approach for solving the GTSP; 3.5.4 Computational results; 3.6 The drilling problem; 3.6.1 Stigmergy and autonomous robots.…”
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86
Visual Data Mining : The VisMiner Approach.
Published 2012Table 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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87
Artificial Intelligence in Semiconductor Industry - Materials to Applications.
Published 2021Table of Contents: “…Cover -- Guest editorial -- Efficient VLSI architecture for FIR filter design using modified differential evolution ant colony optimization algorithm -- Optimized DA-reconfigurable FIR filters for software defined radio channelizer applications -- Grid -- connected operation and performance of hybrid DG having PV and PEMFC -- High speed data encryption technique with optimized memory based RSA algorithm for communications -- A 10-bit 200 MS/s pipelined ADCwith parallel sampling and switched op-amp sharing technique…”
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88
Recent advances in hybrid metaheuristics for dataclustering
Published 2020Table of Contents: “…Cover -- Title Page -- Copyright -- Contents -- List of Contributors -- Series Preface -- Preface -- Chapter 1 Metaheuristic Algorithms in Fuzzy Clustering -- 1.1 Introduction -- 1.2 Fuzzy Clustering -- 1.2.1 Fuzzy c-means (FCM) clustering -- 1.3 Algorithm -- 1.3.1 Selection of Cluster Centers -- 1.4 Genetic Algorithm -- 1.5 Particle Swarm Optimization -- 1.6 Ant Colony Optimization -- 1.7 Artificial Bee Colony Algorithm -- 1.8 Local Search-Based Metaheuristic Clustering Algorithms -- 1.9 Population-Based Metaheuristic Clustering Algorithms -- 1.9.1 GA-Based Fuzzy Clustering…”
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89
Abdominal organ retrieval and transplantation bench surgery
Published 2013Full text (MFA users only)
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90
Reviews in computational chemistry.
Published 2001Table of Contents: “…Transformation Properties of the Wave FunctionTransformation Properties of the Hamiltonian; Matrix Elements; Examples; Summary; Computational Aspects; General Considerations; Evaluation of Spin-Orbit Integrals; Perturbational Approaches to Spin-Orbit Coupling; Variational Procedures; Comparison of Fine-Structure Splittings with Experiment; First-Order Spin-Orbit Splitting; Second-Order Spin-Orbit Splitting; Spin-Forbidden Transitions; Radiative Transitions; Nonradiative Transitions; Summary and Outlook; Acknowledgments; References; 4. …”
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91
Global Navigation Satellite System (GNSS) Receivers for Weak Signals.
Published 2006Full text (MFA users only)
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92
Domain Decomposition Methods in Science and Engineering : Proceedings of the Seventh International Conference on Domain Decomposition October 27-30, 1993, the Pennsylvania State U...
Published 1994Table of Contents: “…""Multilevel methods for elliptic problems with discontinuous coefficients in three dimensions""""Multilevel methods for elliptic problems on domains not resolved by the coarse grid""; ""Three-dimensional domain decomposition methods with nonmatching grids and unstructured coarse solvers""; ""Domain decomposition for elliptic problems with large condition numbers""; ""Stable subspace splittings for Sobolev spaces and domain decomposition algorithms""; ""A wire basket based method for spectral elements in three dimensions""…”
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93
Advances in Computational Intelligence : Theory & Applications
Published 2006Table of Contents: “…Lin and F.-Y. Wang -- 8. Ant colony algorithms: the state-of-the-art / J. …”
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94
Industrial control systems
Published 2011Table of Contents: “…INTELLIGENT CONTROL SYSTEM FOR AN INDUSTRIAL MANIPULATORAbstract; 1Introduction; 2AdaptiveLearningTechniqueforLarge-ScaleTeachingSignals; 2.1Background; 2.2Model-basedroboticservosystem; 2.2.1Computedtorquecontrolmethod; 2.2.2TeachingsignalforRNN; 2.3Independentrecurrentneuralnetworksforanindustrialrobotwithsixjoints; 2.3.1AdaptivelearningofRNNs; 2.3.2LearningresultsofRNNs; 2.4AdvancedservosystemusingintegratedRNNs; 3FineGainTuningforModel-BasedRoboticServoControllersUsingGeneticAlgorithms; 3.1Background; 3.2RoboticServoController; 3.2.1ResolvedAccelerationControl.…”
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95
Optimization of Logistics.
Published 2012Table of Contents: “…2.4.1. Genetic algorithms2.4.2. Ant colonies; 2.4.3. Tabu search; 2.4.4. …”
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96
Learning Boost C++ libraries : solve practical programming problems using powerful, portable, and expressive libraries from Boost
Published 2015Table of Contents: “…Shared ownership semanticsboost::shared_ptr and std::shared_ptr; Intrusive smart pointers -- boost::intrusive_ptr; shared_array; Managing non-memory resources using smart pointers; Self-test questions; Summary; References; Chapter 4: Working with Strings; Text processing with Boost String Algorithms library; Using Boost String Algorithms; Find algorithms; Case-conversion and trimming algorithms; The replace and erase algorithms; The split and join algorithms; Splitting text using the Boost Tokenizer library; Tokenizing based on separators…”
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97
Applied modelling, numerical simulation, computation and optimization.
Published 2017Table of Contents: “…A partial name prefix merging and shortening for name lookup in named data networkingSimulation of dispersed phase evolution for immiscible polymer blends in injection molding; Examination of carbon-water nanofluid flow with thermal radiation under the effect of Marangoni convection; On the time-splitting Fourier spectral method for the coupled Klein-Gordon-SchrÜdinger equations in the quantum field theory; Parameter identification of concrete dams using swarm intelligence algorithm.…”
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98
Modeling Reality : How Computers Mirror Life.
Published 2004Table of Contents: “…Contents; 1 From building blocks to computers: Models and modeling; 2 The game of life: A legendary cellular automaton; 3 Heads or tails: Probability of an event; 4 Galton's board: Probability and statistics; 5 Twenty questions: Probability and information; 6 Snowflakes: The evolution of dynamical systems; 7 The Lorenz butterfly: Deterministic chaos; 8 From Cantor to Mandelbrot: Self-similarity and fractals; 9 Typing monkeys: Statistical linguistics; 10 The bridges of Königsberg: Graph theory; 11 Prisoner's dilemma: Game theory; 12 Let the best man win: Genetic algorithms.…”
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99
Elements of quantum computation and quantum communication
Published 2013Table of Contents: “…Jozsa (DJ) algorithm; Grover's algorithm; Simon's algorithm; Shor's algorithm; Solution of Pell's equation and the principal ideal problem; Discussion Quantum Error Correction; Quantum error correction; Basic idea of an error model; A little more on quantum error correction; Decoherence and decoherence free subspace; DiVincenzo criteria Quantum Teleportation and Superdense Coding; Different types of teleportation schemes; A simple scheme for perfect teleportation; Probabilistic teleportation; Controlled teleportation or quantum information splitting; Modified teleportation schemes; Superdense coding Quantum Cryptography; Jargon related to cryptography; Some interesting classical ciphers; Different aspects of quantum cryptography; Let us develop protocols of QKD; Protocol 5: B92 protocol; GV protocol: QKD with orthogonal states.…”
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100
Information technology applications in industry III : selected, peer reviewed papers from the 2014 3rd International Conference on Information Technology and Management Innovation...
Published 2014Table of Contents: “…A Hybrid Simulate Annealing Algorithm Based on Aircraft Emergency Dispatching SystemA Variable Step-Size BLMS Adaptive Jamming Cancellation Algorithm Based on FFT; Adaptive Extended Kalman Filter for Nonlinear System with Noise Compensating Technology; An Improvement of Apriori Algorithm in Medical Data Mining; An Integrated Algorithm for Low-Carbon City Evaluation Based on Neural Network and Analytic Hierarchy Process; Reliability Optimization for Multi-State Series-Parallel System Design Using Ant Colony Algorithm…”
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