Search Results - (((((((ant OR iskantor) OR wind) OR wwwantee) OR cantor) OR anne) OR carter) OR santa) algorithms.

Advances in applied mechanics and materials : selected, peer reviewed papers from the International Conference on Mechanical Engineering (ICOME 2013), September 19-21, 2013, Matara...

Table of Contents: “…Validation of AWTSim as Aerodynamic Analysis for Design Wind Turbine BladeNumerical Study on the Influence of the Corner Curvature of Circular Micropillar on Microdroplet Size via a Dewetting Process; Redesign ITS Central Library through Smart Building; Optimization of Maximum Lift to Drag Ratio on Airfoil Design Based on Artificial Neural Network Utilizing Genetic Algorithm; Carbon Dioxide Effects on the Flammability Characteristics of Biogas; Heat Transfer Effectiveness and Coefficient of Pressure Drop on the Shell Side of a Staggered Elliptical Tubes Bank.…”
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Manufacturing automation technology and system II

Table of Contents: “…On the Size Effects in Micro/Meso Upsetting of Brass H62 at Elevated TemperaturesResearch on the Hot Stamping of Invar Based on Flexible Mould; Acoustic Emission Signal Acquisition and Analysis on Tool Wear; Chapter II: Mechanical Engineering and Engineering Design; Tacho Plate's Technological Procedure Compilation and the Fixture's Digital Design; Analysis of Bearing Mechanics Characteristic of Wind Turbine; Torsional Vibration of Precise Cable Drive System; Research on Production Control Mode of Manufacturing System Based on Neuroendocrine Hormonal Regulation.…”
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Deep Learning with TensorFlow : Explore neural networks and build intelligent systems with Python, 2nd Edition. by Zaccone, Giancarlo

Table of Contents: “…; Artificial neural networks; The biological neurons; The artificial neuron; How does an ANN learn?; ANNs and the backpropagation algorithm; Weight optimization; Stochastic gradient descent; Neural network architectures; Deep Neural Networks (DNNs); Multilayer perceptron; Deep Belief Networks (DBNs).…”
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Trading the Measured Move : a Path to Trading Success in a World of Algos and High Frequency Trading. by Halsey, David

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Dermatologic principles and practice in oncology : conditions of the skin, hair, and nails in cancer patients

Table of Contents: “…Borovicka, Jennifer R.S. Gordon, Ann Cameron Haley, Nicole E. Larson and Dennis P. …”
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Computational ecology : artificial neural networks and their applications by Zhang, Wenjun

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Energy harvesting wireless communications by Huang, Chuan, 1983-, Zhou, Sheng, Xu, Jie, Niu, Zhisheng, Zhang, Rui, Cui, Shuguang

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Principles of artificial neural networks by Graupe, Daniel

Table of Contents: “…Fundamentals of biological neural networks -- ch. 3. Basic principles of ANNs and their early structures. 3.1. Basic principles of ANN design. 3.2. …”
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Advanced concepts in mechanical engineering I : Selected, peer reviewed papers from a Collection of Papers from the 6th International Conference on Advanced Concepts in Mechanical...

Table of Contents: “…Graphic Method Profiling of the End Mill Cutter Generating the Screw Compressor RotorZPA Worms -- Definition and Technology; Planetary Gear for Counter-Rotating Wind Turbines; Virtual Model to Generate Motions on Cyclic Trajectories; Dynamic Optimization of a Single-Seater Car Suspension System; Structural Synthesis of Parallel Linkages by Multibody Systems Method; Chapter 2: Mechanics of Deformable Bodies; Some Consideration Regarding the Models for Collisions with Plastic Indentation; Optimizing the Shape and Size of Cruciform Specimens Used for Biaxial Tensile Test…”
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Digital disciplines : attaining market leadership via the cloud, big data, social, mobile, and the internet of things by Weinman, Joe, 1958-

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Frontiers of Artificial Intelligence in Medical Imaging. by Razmjooy, Navid

Table of Contents: “…5.5 Electromagnetic field optimization algorithm -- 5.6 Developed electromagnetic field optimization algorithm -- 5.7 Simulation results -- 5.7.1 Image acquisition -- 5.7.2 Pre-processing stage -- 5.7.3 Processing stage -- 5.7.4 Classification -- 5.8 Final evaluation -- 5.9 Conclusions -- References -- Chapter 6 Evaluation of COVID-19 lesion from CT scan slices: a study using entropy-based thresholding and DRLS segmentation -- 6.1 Introduction -- 6.2 Context -- 6.3 Methodology -- 6.3.1 COVID-19 database -- 6.3.2 Image conversion and pre-processing -- 6.3.3 Image thresholding…”
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Advanced deep learning with R : become an expert at designing, building, and improving advanced neural network models using R by Rai, Bharatendra K.

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Electronics, Mechatronics and Automation III : Selected, Peer Reviewed Papers from the 2014 3rd International Conference on Electronics, Mechatronics and Automation (ICEMA 2014), A...

Table of Contents: “…Decision Tree Algorithm for Real-Time Identification of Critical Voltage Control AreasThe Diagnostics System for Power Transmission Lines of 6/10 kV; The Study on Homogeneous Parameters of Light Water Reactor by the Nodal Diffusion Method; Improved Power Transformer Winding Deformation Fault Diagnosis Method; Efficiency of Vortex Tube Enclosure Cooling; Chapter 4: Mechatronics, Control and Automation of Manufacturing; Stabilization and Control of an Autonomous Quadcopter; Robust Control of Weight Compensation of the Sections of Spascraft on the Weightlessness Simulation Bench.…”
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Complex Analysis and Dynamical Systems VII. by Agranovsky, Mark L.

Table of Contents: “…Modulus as a Convex Program and the Karush-Kuhn-Tucker conditions -- 9. An algorithm for approximating the modulus…”
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Mathematical Methods in Interdisciplinary Sciences. by Chakraverty, Snehashish

Table of Contents: “…1.2.2.1 Architecture of Single-Layer LgNN Model -- 1.2.2.2 Training Algorithm of Laguerre Neural Network (LgNN) -- 1.2.2.3 Gradient Computation of LgNN -- 1.3 Methodology for Solving a System of Fredholm Integral Equations of Second Kind -- 1.3.1 Algorithm -- 1.4 Numerical Examples and Discussion -- 1.4.1 Differential Equations and Applications -- 1.4.2 Integral Equations -- 1.5 Conclusion -- References -- Chapter 2 Deep Learning in Population Genetics: Prediction and Explanation of Selection of a Population -- 2.1 Introduction -- 2.2 Literature Review -- 2.3 Dataset Description…”
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Blockchain and the Digital Economy : The Socio-Economic Impact of Blockchain Technology. by Steinmetz, Fred

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Artificial intelligence research and development : current challenges, new trends and applications

Table of Contents: “…-- An Argumentation Approach for Agreement Analysis in Reddit Debates -- Tweet Sentiment Visualization and Classification Using Manifold Dimensionality Reduction -- N-Channel Convolutional Neural Networks for Irony Detection in Twitter -- A New Algorithm for Speech Enhancement Based on Multivariate Empirical Mode Decomposition -- Classifying and Generalizing Successful Parameter Combinations for Sound Design -- A Visual Distance for WordNet -- Enhancing Text Spotting with a Language Model and Visual Context Information -- Cognitive Systems and Agents -- What Is the Physics of Intelligence? …”
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Biological computation by Lamm, Ehud

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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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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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