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

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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Industrial engineering and applied research : selected, peer reviewed papers from the 2014 3rd International Conference on Industrial Design and Mechanics Power (3rd ICIDMP 2014),...

Table of Contents: “…Instructional Design Integrated with Quality Function Deployment (QFD) and TRIZ40Structure Design Based on Mechanism and Materials Property; Analysis of the Pressure and the Gasleak of the Piston Ring of a New Double-Rotor Engine; Design Optimization of Hub for 3-Bladed Horizontal Axis Tidal Turbine; A New Method of LCMV Algorithm in GNSS Anti-Interference; Research on Damage Technology of Variable-Structure Following Warhead; Analysis of Geometric Characteristic of Missile Vertical Launching System Guide Rail…”
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Cybersecurity Law, standards and regulations by Schreider, Tari

Table of Contents: “…Authors of original encryption algorithms never really thought that governments would want to have access to their en... -- In an effort to bring sanity to the uncontrolled growth of encryption regulations, two important laws have been introduced. …”
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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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Frontiers of manufacturing science and measuring technology IV : selected, peer reviewed papers from the 2014 4th International Conference on Frontiers of Manufacturing Science and...

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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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Digital wealth : an automatic way to invest successfully by Moore, Simon, 1978-

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Integral equations, boundary value problems and related problems : dedicated to Professor Chien-Ke Lu on the occasion of his 90th birthday : Yinchuan, Ningxia, China, 19-23 August...

Table of Contents: “…Dong, X.Y. Yao and C.F. Wang -- Anti-plane problem of two collinear cracks in a functionally graded coating-substance structure / S.H. …”
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Building Machine Learning Systems with Python. by Richert, Willi

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Pediatric incontinence : evaluation and clinical management

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Oracle SOA Suite 11g Performance Cookbook. by Brasier, Matthew

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6G Wireless Communications and Mobile Networking.

Table of Contents: “…Terminal-positioning and Other Novel Applications -- MASSIVE MIMO ANTENNA FOR MOBILE COMMUNICATIONS -- Massive MIMO Antenna Array Design and Synthesis -- Massive MIMO Antenna Decoupling Technology -- Large-Scale Antenna Beamforming Technology -- Null-notch Beamforming Algorithm Based on LMS Criterion -- DESIGN OF FEED NETWORK AND RF FRONT-END -- Feeding Technology of Base Station Antenna -- Design of RF Front-End for Large-Scale Active Antenna -- ANTENNA SELECTION TECHNOLOGY -- Antenna Selection Criteria and Classification -- Optimal Antenna Selection Algorithm -- Incremental Antenna Selection Algorithm -- Decreasing Antenna Selection Algorithm -- MEASUREMENT TECHNOLOGY OF MASSIVE MIMO ANTENNA -- OTA Testing Requirements for Massive MIMO Antenna -- Near-Field and Far-Field Measurement -- Far-Field Test -- Near-Field Test: -- OTA Testing Process -- SUMMARY -- CONSENT FOR PUBLICATION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES.…”
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Database technology for life sciences and medicine

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Graph drawing and applications for software and knowledge engineers by Sugiyama, Kozo, 1945-

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Learning Geospatial Analysis with Python - Second Edition. by Lawhead, Joel

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Architecture-aware optimization strategies in real-time image processing by Li, Chao, Balla-Arabe, Souleymane, Yang, Fan

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Practical data analysis by Cuesta, Hector

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Mechanical and Electronics Engineering : proceedings of the International Conference on ICMEE 2009, Chennai, India, 24-26 July 2009

Table of Contents: “…Shafie -- The investigation of input shaping with different polarities for anti-sway control of a gantry crane system / Mohd. …”
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Integration of swarm intelligence and artificial neural network

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Oracle Primavera P6 version 8 : project and portfolio management : a comprehensive guide to managing projects, resources, and portfolios using Primavera P6, through version 8.2 by Williams, Daniel L.

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