The 1996 IEEE International Conference on Neural Networks, June 3-6, 1996, Sheraton Washington Hotel, Washington, DC, USA.: Proceedings PDF Download
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Author:
Publisher:
ISBN:
Category : Neural computers
Languages : en
Pages : 696
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Book Description
Author:
Publisher:
ISBN:
Category : Neural computers
Languages : en
Pages : 696
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Author:
Publisher: Institute of Electrical & Electronics Engineers(IEEE)
ISBN:
Category : Computers
Languages : en
Pages : 764
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Author: Rob Stocker
Publisher: IOS Press
ISBN: 9789051992847
Category : Computers
Languages : en
Pages : 376
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Book Description
Over the past few years the study of Complex Systems has proven to be a fruitful and expanding field of research. Just as the number of discoveries and applications has grown, so has level of acceptance in academic, government and commercial environments. Theoretical and practical contributions to research have continued to provide a springboard for wide ranging discoveries across many disciplines investigating complex phenomena. This is the third in a series of collected studies on complexity research. This volume addresses one of the central issues of complexity. That is, how are systems put together? How do interactions between individual elements build up into the behavior or properties of an entire system? The topics are: - Organization and Behavior of Computational Systems; - Criticality and Complexity; - Nonlinear Dynamics and Fractals; - Computational Problem Solving with Genetic Algorithms and Cellular Automata; - Evolution, Learning and Artificial Neural Networks; - From Biological Systems to Artificial Life.
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ISBN:
Category : American literature
Languages : en
Pages : 1466
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Author:
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ISBN:
Category : Artificial intelligence
Languages : en
Pages : 176
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Book Description
Author: D. Subbaram Naidu
Publisher: CRC Press
ISBN: 1351830317
Category : Technology & Engineering
Languages : en
Pages : 476
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Book Description
The theory of optimal control systems has grown and flourished since the 1960's. Many texts, written on varying levels of sophistication, have been published on the subject. Yet even those purportedly designed for beginners in the field are often riddled with complex theorems, and many treatments fail to include topics that are essential to a thorough grounding in the various aspects of and approaches to optimal control. Optimal Control Systems provides a comprehensive but accessible treatment of the subject with just the right degree of mathematical rigor to be complete but practical. It provides a solid bridge between "traditional" optimization using the calculus of variations and what is called "modern" optimal control. It also treats both continuous-time and discrete-time optimal control systems, giving students a firm grasp on both methods. Among this book's most outstanding features is a summary table that accompanies each topic or problem and includes a statement of the problem with a step-by-step solution. Students will also gain valuable experience in using industry-standard MATLAB and SIMULINK software, including the Control System and Symbolic Math Toolboxes. Diverse applications across fields from power engineering to medicine make a foundation in optimal control systems an essential part of an engineer's background. This clear, streamlined presentation is ideal for a graduate level course on control systems and as a quick reference for working engineers.
Author: Robert L. Ashenhurst
Publisher: Association for Computing Machinery (ACM)
ISBN:
Category : Computers
Languages : en
Pages : 546
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Book Description
Author: Desineni S. Naidu
Publisher: IET
ISBN: 9780863411076
Category : Technology & Engineering
Languages : en
Pages : 314
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Book Description
This book presents the twin topics of singular perturbation methods and time scale analysis to problems in systems and control. The heart of the book is the singularly perturbed optimal control systems, which are notorious for demanding excessive computational costs. The book addresses both continuous control systems (described by differential equations) and discrete control systems (characterised by difference equations).
Author:
Publisher: Lulu.com
ISBN: 1409200736
Category : Computers
Languages : en
Pages : 252
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Book Description
Genetic programming (GP) is a systematic, domain-independent method for getting computers to solve problems automatically starting from a high-level statement of what needs to be done. Using ideas from natural evolution, GP starts from an ooze of random computer programs, and progressively refines them through processes of mutation and sexual recombination, until high-fitness solutions emerge. All this without the user having to know or specify the form or structure of solutions in advance. GP has generated a plethora of human-competitive results and applications, including novel scientific discoveries and patentable inventions. This unique overview of this exciting technique is written by three of the most active scientists in GP. See www.gp-field-guide.org.uk for more information on the book.
Author: Wendy L. Martinez
Publisher: CRC Press
ISBN: 1315349841
Category : Mathematics
Languages : en
Pages : 589
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Book Description
Praise for the Second Edition: "The authors present an intuitive and easy-to-read book. ... accompanied by many examples, proposed exercises, good references, and comprehensive appendices that initiate the reader unfamiliar with MATLAB." —Adolfo Alvarez Pinto, International Statistical Review "Practitioners of EDA who use MATLAB will want a copy of this book. ... The authors have done a great service by bringing together so many EDA routines, but their main accomplishment in this dynamic text is providing the understanding and tools to do EDA. —David A Huckaby, MAA Reviews Exploratory Data Analysis (EDA) is an important part of the data analysis process. The methods presented in this text are ones that should be in the toolkit of every data scientist. As computational sophistication has increased and data sets have grown in size and complexity, EDA has become an even more important process for visualizing and summarizing data before making assumptions to generate hypotheses and models. Exploratory Data Analysis with MATLAB, Third Edition presents EDA methods from a computational perspective and uses numerous examples and applications to show how the methods are used in practice. The authors use MATLAB code, pseudo-code, and algorithm descriptions to illustrate the concepts. The MATLAB code for examples, data sets, and the EDA Toolbox are available for download on the book’s website. New to the Third Edition Random projections and estimating local intrinsic dimensionality Deep learning autoencoders and stochastic neighbor embedding Minimum spanning tree and additional cluster validity indices Kernel density estimation Plots for visualizing data distributions, such as beanplots and violin plots A chapter on visualizing categorical data
