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Author : Fong Yeng Foo
Publisher :
ISBN 13 :
Total Pages : 175 pages
Book Rating : 4.:/5 (96 download)
Download or read book Parameters Estimation in Double Exponential Smoothing Using Genetic Algorithm written by Fong Yeng Foo and published by . This book was released on 2010 with total page 175 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Nur Intan Liyana Mohd. Azmi
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (96 download)
Download or read book Parameters Estimation of Holt-winter Smoothing Method Using Genetic Algorithm written by Nur Intan Liyana Mohd. Azmi and published by . This book was released on 2013 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : K. R. Shubha
Publisher :
ISBN 13 :
Total Pages : 292 pages
Book Rating : 4.:/5 (444 download)
Download or read book Parameter Estimation of Second-order Systems Using Genetic Algorithms written by K. R. Shubha and published by . This book was released on 2000 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: Objective of the thesis is to be able to develop a GA technique to optimize and hence estimate the parameter values for this three-variable system.
Author :
Publisher :
ISBN 13 :
Total Pages : 3 pages
Book Rating : 4.:/5 (873 download)
Download or read book Parameter Estimation by Genetic Algorithms written by and published by . This book was released on 1993 with total page 3 pages. Available in PDF, EPUB and Kindle. Book excerpt: Test/Analysis correlation, or structural identification, is a process of reconciling differences in the structural dynamic models constructed analytically (using the finite element (FE) method) and experimentally (from modal test). This is a methodology for assessing the reliability of the computational model, and is very important in building models of high integrity, which may be used as predictive tools in design. Both the analytic and experimental models evaluate the same quantities: the natural frequencies (or eigenvalues, ([omega]{sub i}), and the mode shapes (or eigenvectors, {var_phi}). In this paper, selected frequencies are reconciled in the two models by modifying physical parameters in the FE model. A variety of parameters may be modified such as the stiffness of a joint member or the thickness of a plate. Engineering judgement is required to identify important frequencies, and to characterize the uncertainty of the model design parameters.
Author : Gina M. Thomas
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (334 download)
Download or read book Weibull Parameter Estimation Using Genetic Algorithms and a Heuristic Approach to Cut-set Analysis written by Gina M. Thomas and published by . This book was released on 1995 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Rüdiger Krause
Publisher :
ISBN 13 : 9783832506612
Total Pages : 0 pages
Book Rating : 4.5/5 (66 download)
Download or read book Genetic Algorithms as Tool for Statistical Analysis of High-Dimensional Data Structures written by Rüdiger Krause and published by . This book was released on 2004 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: In regression the objective is to determine an appropriate function which reflects reality as accurate as possible but also eliminates irregularities from data noise and is therefore easy to interpret. A popular and flexible approach for estimating the true underlying function is the additive model. One possible approach for fitting additive models is the expansion in B-splines which allows direct calculation of the estimators. If the number of B-splines is too large the estimated functions become wiggly and tend to be very close to the observed data. To avoid this problem of overfitting we use a penalization approach characterized by smoothing parameters. In this thesis we propose the use of genetic algorithms for smoothing parameter optimization. Genetic algorithms are rarely applied in the field of statistics and refer to the principle that better adapted individuals win against their competitors under equal conditions. Apart from smoothing parameter optimization the user often faces datasets containing large numbers of relevant and irrelevant explanatory variables. Appropriate variable selection approaches allow to reduce the number of variables to subsets of relevant variables. We propose to consider the problems of variable selection and choice of smoothing parameters simultaneously by using genetic algorithms. Our approach bases on an appropriate combination of the genetic algorithms for smoothing parameter optimization and variable selection.
Author : Antonio Gabaldón
Publisher : MDPI
ISBN 13 : 303943442X
Total Pages : 324 pages
Book Rating : 4.0/5 (394 download)
Download or read book Short-Term Load Forecasting 2019 written by Antonio Gabaldón and published by MDPI. This book was released on 2021-02-26 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: Short-term load forecasting (STLF) plays a key role in the formulation of economic, reliable, and secure operating strategies (planning, scheduling, maintenance, and control processes, among others) for a power system and will be significant in the future. However, there is still much to do in these research areas. The deployment of enabling technologies (e.g., smart meters) has made high-granularity data available for many customer segments and to approach many issues, for instance, to make forecasting tasks feasible at several demand aggregation levels. The first challenge is the improvement of STLF models and their performance at new aggregation levels. Moreover, the mix of renewables in the power system, and the necessity to include more flexibility through demand response initiatives have introduced greater uncertainties, which means new challenges for STLF in a more dynamic power system in the 2030–50 horizon. Many techniques have been proposed and applied for STLF, including traditional statistical models and AI techniques. Besides, distribution planning needs, as well as grid modernization, have initiated the development of hierarchical load forecasting. Analogously, the need to face new sources of uncertainty in the power system is giving more importance to probabilistic load forecasting. This Special Issue deals with both fundamental research and practical application research on STLF methodologies to face the challenges of a more distributed and customer-centered power system.
Author : A.E. Ruano
Publisher : IET
ISBN 13 : 0863414893
Total Pages : 478 pages
Book Rating : 4.8/5 (634 download)
Download or read book Intelligent Control Systems Using Computational Intelligence Techniques written by A.E. Ruano and published by IET. This book was released on 2005-07-18 with total page 478 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent Control techniques are becoming important tools in both academia and industry. Methodologies developed in the field of soft-computing, such as neural networks, fuzzy systems and evolutionary computation, can lead to accommodation of more complex processes, improved performance and considerable time savings and cost reductions. Intelligent Control Systems using Computational Intellingence Techniques details the application of these tools to the field of control systems. Each chapter gives and overview of current approaches in the topic covered, with a set of the most important references in the field, and then details the author's approach, examining both the theory and practical applications.
Author : Huchuan Lu
Publisher : Springer
ISBN 13 : 3030227960
Total Pages : 499 pages
Book Rating : 4.0/5 (32 download)
Download or read book Advances in Neural Networks – ISNN 2019 written by Huchuan Lu and published by Springer. This book was released on 2019-06-26 with total page 499 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set LNCS 11554 and 11555 constitutes the refereed proceedings of the 16th International Symposium on Neural Networks, ISNN 2019, held in Moscow, Russia, in July 2019. The 111 papers presented in the two volumes were carefully reviewed and selected from numerous submissions. The papers were organized in topical sections named: Learning System, Graph Model, and Adversarial Learning; Time Series Analysis, Dynamic Prediction, and Uncertain Estimation; Model Optimization, Bayesian Learning, and Clustering; Game Theory, Stability Analysis, and Control Method; Signal Processing, Industrial Application, and Data Generation; Image Recognition, Scene Understanding, and Video Analysis; Bio-signal, Biomedical Engineering, and Hardware.
Author : Mohamad Fitri Mohd. Nor
Publisher :
ISBN 13 :
Total Pages : 88 pages
Book Rating : 4.:/5 (96 download)
Download or read book Parameter Estimation of Nonlinear Dynamic System Using Genetic Algorithm written by Mohamad Fitri Mohd. Nor and published by . This book was released on 2006 with total page 88 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Wei-Chiang Hong
Publisher : MDPI
ISBN 13 : 3038972908
Total Pages : 251 pages
Book Rating : 4.0/5 (389 download)
Download or read book Hybrid Advanced Techniques for Forecasting in Energy Sector written by Wei-Chiang Hong and published by MDPI. This book was released on 2018-10-19 with total page 251 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a printed edition of the Special Issue "Hybrid Advanced Techniques for Forecasting in Energy Sector" that was published in Energies
Author : Soren Sebastian Funder Jorgensen
Publisher :
ISBN 13 :
Total Pages : 94 pages
Book Rating : 4.:/5 (545 download)
Download or read book On the Use of a Parallel Multi-species Genetic Algorithm for Parameter Estimation in Structural Dynamics written by Soren Sebastian Funder Jorgensen and published by . This book was released on 2003 with total page 94 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Cengiz Kahraman
Publisher : Springer
ISBN 13 : 3319654551
Total Pages : 596 pages
Book Rating : 4.3/5 (196 download)
Download or read book Operations Research Applications in Health Care Management written by Cengiz Kahraman and published by Springer. This book was released on 2017-12-08 with total page 596 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a comprehensive reference guide to operations research theory and applications in health care systems. It provides readers with all the necessary tools for solving health care problems. The respective chapters, written by prominent researchers, explain a wealth of both basic and advanced concepts of operations research for the management of operating rooms, intensive care units, supply chain, emergency medical service, human resources, lean health care, and procurement. To foster a better understanding, the chapters include relevant examples or case studies. Taken together, they form an excellent reference guide for researchers, lecturers and postgraduate students pursuing research on health care management problems. The book presents a dynamic snapshot on the field that is expected to stimulate new directions and stimulate new ideas and developments.
Author : George D. Smith
Publisher : Springer Science & Business Media
ISBN 13 : 3709164923
Total Pages : 654 pages
Book Rating : 4.7/5 (91 download)
Download or read book Artificial Neural Nets and Genetic Algorithms written by George D. Smith and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 654 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the third in a series of conferences devoted primarily to the theory and applications of artificial neural networks and genetic algorithms. The first such event was held in Innsbruck, Austria, in April 1993, the second in Ales, France, in April 1995. We are pleased to host the 1997 event in the mediaeval city of Norwich, England, and to carryon the fine tradition set by its predecessors of providing a relaxed and stimulating environment for both established and emerging researchers working in these and other, related fields. This series of conferences is unique in recognising the relation between the two main themes of artificial neural networks and genetic algorithms, each having its origin in a natural process fundamental to life on earth, and each now well established as a paradigm fundamental to continuing technological development through the solution of complex, industrial, commercial and financial problems. This is well illustrated in this volume by the numerous applications of both paradigms to new and challenging problems. The third key theme of the series, therefore, is the integration of both technologies, either through the use of the genetic algorithm to construct the most effective network architecture for the problem in hand, or, more recently, the use of neural networks as approximate fitness functions for a genetic algorithm searching for good solutions in an 'incomplete' solution space, i.e. one for which the fitness is not easily established for every possible solution instance.
Author : Srikanta Patnaik
Publisher : Springer Nature
ISBN 13 : 9811393303
Total Pages : 408 pages
Book Rating : 4.8/5 (113 download)
Download or read book New Paradigm in Decision Science and Management written by Srikanta Patnaik and published by Springer Nature. This book was released on 2019-09-20 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses an emerging area in computer science, IT and management, i.e., decision sciences and management. It includes studies that employ various computing techniques like machine learning to generate insights from huge amounts of available data; and which explore decision-making for cross-platforms that contain heterogeneous data associated with complex assets; leadership; and team coordination. It also reveals the advantages of using decision sciences with management-oriented problems. The book includes a selection of the best papers presented at the International Conference on Decision Science and Management 2018 (ICDSM 2018), held at the Interscience Institute of Management and Technology (IIMT), Bhubaneswar, India.
Author : Wei-Chiang Hong
Publisher : MDPI
ISBN 13 : 3038975826
Total Pages : 445 pages
Book Rating : 4.0/5 (389 download)
Download or read book Short-Term Load Forecasting by Artificial Intelligent Technologies written by Wei-Chiang Hong and published by MDPI. This book was released on 2019-01-29 with total page 445 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a printed edition of the Special Issue "Short-Term Load Forecasting by Artificial Intelligent Technologies" that was published in Energies
Author : Lars Dannecker
Publisher : Springer
ISBN 13 : 3658110392
Total Pages : 241 pages
Book Rating : 4.6/5 (581 download)
Download or read book Energy Time Series Forecasting written by Lars Dannecker and published by Springer. This book was released on 2015-08-06 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: Lars Dannecker developed a novel online forecasting process that significantly improves how forecasts are calculated. It increases forecasting efficiency and accuracy, as well as allowing the process to adapt to different situations and applications. Improving the forecasting efficiency is a key pre-requisite for ensuring stable electricity grids in the face of an increasing amount of renewable energy sources. It is also important to facilitate the move from static day ahead electricity trading towards more dynamic real-time marketplaces. The online forecasting process is realized by a number of approaches on the logical as well as on the physical layer that we introduce in the course of this book. Nominated for the Georg-Helm-Preis 2015 awarded by the Technische Universität Dresden.
