Prediccion De Series Temporales Mediante Redes Neuronales Artificiales

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Applied Computer Sciences in Engineering

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Author : Juan Carlos Figueroa-García
Publisher : Springer Nature
ISBN 13 : 3031206118
Total Pages : 495 pages
Book Rating : 4.0/5 (312 download)

Book Synopsis Applied Computer Sciences in Engineering by : Juan Carlos Figueroa-García

Download or read book Applied Computer Sciences in Engineering written by Juan Carlos Figueroa-García and published by Springer Nature. This book was released on 2022-11-23 with total page 495 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 9th Workshop on Engineering Applications on Applied Computer Sciences in Engineering, WEA 2022, which took place in Bogotá, Colombia, in November/December 2022. The 39 papers presented in this volume were carefully reviewed and selected from 143 submissions. They were organized in topical sections as follows: Artificial Intelligence; Optimization; Simulation; and Applications.

Artificial Neural Nets. Problem Solving Methods

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Author : José Mira
Publisher : Springer Science & Business Media
ISBN 13 : 354040211X
Total Pages : 845 pages
Book Rating : 4.5/5 (44 download)

Book Synopsis Artificial Neural Nets. Problem Solving Methods by : José Mira

Download or read book Artificial Neural Nets. Problem Solving Methods written by José Mira and published by Springer Science & Business Media. This book was released on 2003-05-22 with total page 845 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNCS 2686 and LNCS 2687 constitute the refereed proceedings of the 7th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2003, held in Maó, Menorca, Spain in June 2003. The 197 revised papers presented were carefully reviewed and selected for inclusion in the book and address the following topics: mathematical and computational methods in neural modelling, neurophysiological data analysis and modelling, structural and functional models of neurons, learning and other plasticity phenomena, complex systems dynamics, cognitive processes and artificial intelligence, methodologies for net design, bio-inspired systems and engineering, and applications in a broad variety of fields.

Economic Modeling Using Artificial Intelligence Methods

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Author : Tshilidzi Marwala
Publisher : Springer Science & Business Media
ISBN 13 : 1447150104
Total Pages : 271 pages
Book Rating : 4.4/5 (471 download)

Book Synopsis Economic Modeling Using Artificial Intelligence Methods by : Tshilidzi Marwala

Download or read book Economic Modeling Using Artificial Intelligence Methods written by Tshilidzi Marwala and published by Springer Science & Business Media. This book was released on 2013-04-02 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: Economic Modeling Using Artificial Intelligence Methods examines the application of artificial intelligence methods to model economic data. Traditionally, economic modeling has been modeled in the linear domain where the principles of superposition are valid. The application of artificial intelligence for economic modeling allows for a flexible multi-order non-linear modeling. In addition, game theory has largely been applied in economic modeling. However, the inherent limitation of game theory when dealing with many player games encourages the use of multi-agent systems for modeling economic phenomena. The artificial intelligence techniques used to model economic data include: multi-layer perceptron neural networks radial basis functions support vector machines rough sets genetic algorithm particle swarm optimization simulated annealing multi-agent system incremental learning fuzzy networks Signal processing techniques are explored to analyze economic data, and these techniques are the time domain methods, time-frequency domain methods and fractals dimension approaches. Interesting economic problems such as causality versus correlation, simulating the stock market, modeling and controling inflation, option pricing, modeling economic growth as well as portfolio optimization are examined. The relationship between economic dependency and interstate conflict is explored, and knowledge on how economics is useful to foster peace – and vice versa – is investigated. Economic Modeling Using Artificial Intelligence Methods deals with the issue of causality in the non-linear domain and applies the automatic relevance determination, the evidence framework, Bayesian approach and Granger causality to understand causality and correlation. Economic Modeling Using Artificial Intelligence Methods makes an important contribution to the area of econometrics, and is a valuable source of reference for graduate students, researchers and financial practitioners.

Intelligent Systems Design and Applications

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Author : Ajith Abraham
Publisher : Springer
ISBN 13 : 354044999X
Total Pages : 627 pages
Book Rating : 4.5/5 (44 download)

Book Synopsis Intelligent Systems Design and Applications by : Ajith Abraham

Download or read book Intelligent Systems Design and Applications written by Ajith Abraham and published by Springer. This book was released on 2013-12-20 with total page 627 pages. Available in PDF, EPUB and Kindle. Book excerpt: The proceedings of the Third International Conference on Intelligent Systems Design and Applications (ISDA 2003) held in Tulsa, USA, August 10-13. Current research in all areas of computational intelligence is presented including design of artificial neural networks, fuzzy systems, evolutionary algorithms, hybrid computing systems, intelligent agents, and their applications in science, technology, business and commerce. Main themes addressed by the conference are the architectures of intelligent systems, image, speech and signal processing, internet modeling, data mining, business and management applications, control and automation, software agents and knowledge management.

Intelligent System

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Author : Chatchawal Wongchoosuk
Publisher : BoD – Books on Demand
ISBN 13 : 1789236061
Total Pages : 220 pages
Book Rating : 4.7/5 (892 download)

Book Synopsis Intelligent System by : Chatchawal Wongchoosuk

Download or read book Intelligent System written by Chatchawal Wongchoosuk and published by BoD – Books on Demand. This book was released on 2018-08-29 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent system is an advanced machine that can perceive, learn, and solve the problems with a great accuracy. Technologies with intelligent system are currently available in the market and used in real-world applications, i.e., self-driving cars, Siri, Alexa, Facebook, and so on. To exceed human cognitive capabilities, the important keys rely on the development of sensors and algorithms. Therefore, the insight into artificial intelligence (AI) methods becomes a fundamental building block for design and construction of intelligent system with particular applications. This book aims to describe the AI systems ranging from the basic knowledge, i.e., algorithm and mathematical models of AI techniques, fundamentals of machine learning, genetic algorithm, and fuzzy logic, to the current state-of-the-art applications, such as smart road and biomedical applications.

Qüestiió

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Author :
Publisher :
ISBN 13 :
Total Pages : 396 pages
Book Rating : 4.3/5 (91 download)

Book Synopsis Qüestiió by :

Download or read book Qüestiió written by and published by . This book was released on 1995 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Advances in Nonlinear Speech Processing

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Author : Carlos M. Travieso-González
Publisher : Springer Science & Business Media
ISBN 13 : 364225019X
Total Pages : 292 pages
Book Rating : 4.6/5 (422 download)

Book Synopsis Advances in Nonlinear Speech Processing by : Carlos M. Travieso-González

Download or read book Advances in Nonlinear Speech Processing written by Carlos M. Travieso-González and published by Springer Science & Business Media. This book was released on 2011-10-26 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 5th International Conference on Nonlinear Speech Processing, NoLISP 2011, held in Las Palmas de Gran Canaria, Spain, in November 2011. The purpose of the workshop is to present and discuss new ideas, techniques and results related to alternative approaches in speech processing that may depart from the main stream. The 33 papers presented together with 2 keynote talks were carefully reviewed and selected for inclusion in this book. The topics of NOLISP 2011 were non-linear approximation and estimation; non-linear oscillators and predictors; higher-order statistics; independent component analysis; nearest neighbors; neural networks; decision trees; non-parametric models; dynamics of non-linear systems; fractal methods; chaos modeling; and non-linear differential equations.

ANÁLISIS DE SERIES TEMPORALES MEDIANTE REDES NEURONALES. EJEMPLOS CON MATLAB

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Author : CESAR PEREZ LOPEZ
Publisher : CESAR PEREZ
ISBN 13 :
Total Pages : 307 pages
Book Rating : 4./5 ( download)

Book Synopsis ANÁLISIS DE SERIES TEMPORALES MEDIANTE REDES NEURONALES. EJEMPLOS CON MATLAB by : CESAR PEREZ LOPEZ

Download or read book ANÁLISIS DE SERIES TEMPORALES MEDIANTE REDES NEURONALES. EJEMPLOS CON MATLAB written by CESAR PEREZ LOPEZ and published by CESAR PEREZ. This book was released on with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: MATLAB cuenta con la herramienta Deep Learning Toolbox que proporciona algoritmos, funciones y aplicaciones para crear, entrenar, visualizar y simular redes neuronales. Puede realizar clasificación, regresión, agrupamiento, reducción de dimensionalidad, pronóstico de series temporales y modelado y control de sistemas dinámicos. Las redes neuronales dinámicas son adecuadas para la predicción de series temporales. Puede utilizar la app Neural Net Time Series para resolver diferentes tipos de problemas de series temporales. Generalmente es mejor comenzar con la GUI y luego usarla para generar automáticamente scripts de línea de comandos. Antes de utilizar cualquiera de los métodos, el primer paso es definir el problema seleccionando un conjunto de datos. Cada GUI tiene acceso a muchos conjuntos de datos de muestra que puede utilizar para experimentar con la caja de herramientas. Si tiene un problema específico que desea resolver, puede cargar sus propios datos en el espacio de trabajo. Con MATLAB es posible resolver tres tipos diferentes de problemas de series temporales. En el primer tipo de problema de series de tiempo, se busca predecir valores futuros de una serie de tiempo y(t) a partir de valores pasados de esa serie de tiempo y valores pasados de una segunda serie de tiempo x(t). Esta forma de predicción se denomina red autorregresiva no lineal con entrada exógena (externa), o NARX. En el segundo tipo de problema de series temporales, sólo hay una serie involucrada. Los valores futuros de una serie temporal y(t) se predicen sólo a partir de valores pasados de esa serie. Esta forma de predicción se llama autorregresiva no lineal o NAR. El tercer problema de series de tiempo es similar al primer tipo, en el sentido de que están involucradas dos series, una serie de entrada (predictores) x(t) y una serie de salida (respuestas) y(t). Este libro desarrolla los métodos de predicción con series temporales a través de redes neuronales con MATLAB.

Advances in Computational Intelligence

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Author : Ildar Batyrshin
Publisher : Springer Nature
ISBN 13 : 3030898172
Total Pages : 433 pages
Book Rating : 4.0/5 (38 download)

Book Synopsis Advances in Computational Intelligence by : Ildar Batyrshin

Download or read book Advances in Computational Intelligence written by Ildar Batyrshin and published by Springer Nature. This book was released on 2021-10-20 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNAI 13067 and 13068 constitutes the proceedings of the 20th Mexican International Conference on Artificial Intelligence, MICAI 2021, held in Mexico City, Mexico, in October 2021. The total of 58 papers presented in these two volumes was carefully reviewed and selected from 129 submissions. The first volume, Advances in Computational Intelligence, contains 30 papers structured into three sections: – Machine and Deep Learning – Image Processing and Pattern Recognition – Evolutionary and Metaheuristic Algorithms The second volume, Advances in Soft Computing, contains 28 papers structured into two sections: – Natural Language Processing – Intelligent Applications and Robotics

Introduction to Time Series and Forecasting

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Author : Peter J. Brockwell
Publisher : Springer Science & Business Media
ISBN 13 : 1475725264
Total Pages : 429 pages
Book Rating : 4.4/5 (757 download)

Book Synopsis Introduction to Time Series and Forecasting by : Peter J. Brockwell

Download or read book Introduction to Time Series and Forecasting written by Peter J. Brockwell and published by Springer Science & Business Media. This book was released on 2013-03-14 with total page 429 pages. Available in PDF, EPUB and Kindle. Book excerpt: Some of the key mathematical results are stated without proof in order to make the underlying theory acccessible to a wider audience. The book assumes a knowledge only of basic calculus, matrix algebra, and elementary statistics. The emphasis is on methods and the analysis of data sets. The logic and tools of model-building for stationary and non-stationary time series are developed in detail and numerous exercises, many of which make use of the included computer package, provide the reader with ample opportunity to develop skills in this area. The core of the book covers stationary processes, ARMA and ARIMA processes, multivariate time series and state-space models, with an optional chapter on spectral analysis. Additional topics include harmonic regression, the Burg and Hannan-Rissanen algorithms, unit roots, regression with ARMA errors, structural models, the EM algorithm, generalized state-space models with applications to time series of count data, exponential smoothing, the Holt-Winters and ARAR forecasting algorithms, transfer function models and intervention analysis. Brief introducitons are also given to cointegration and to non-linear, continuous-time and long-memory models. The time series package included in the back of the book is a slightly modified version of the package ITSM, published separately as ITSM for Windows, by Springer-Verlag, 1994. It does not handle such large data sets as ITSM for Windows, but like the latter, runs on IBM-PC compatible computers under either DOS or Windows (version 3.1 or later). The programs are all menu-driven so that the reader can immediately apply the techniques in the book to time series data, with a minimal investment of time in the computational and algorithmic aspects of the analysis.

Time Series Prediction

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Author : Andreas S. Weigend
Publisher : Routledge
ISBN 13 : 042997227X
Total Pages : 665 pages
Book Rating : 4.4/5 (299 download)

Book Synopsis Time Series Prediction by : Andreas S. Weigend

Download or read book Time Series Prediction written by Andreas S. Weigend and published by Routledge. This book was released on 2018-05-04 with total page 665 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book is a summary of a time series forecasting competition that was held a number of years ago. It aims to provide a snapshot of the range of new techniques that are used to study time series, both as a reference for experts and as a guide for novices.

RETRACTED BOOK: 151 Trading Strategies

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Author : Zura Kakushadze
Publisher : Springer
ISBN 13 : 3030027929
Total Pages : 480 pages
Book Rating : 4.0/5 (3 download)

Book Synopsis RETRACTED BOOK: 151 Trading Strategies by : Zura Kakushadze

Download or read book RETRACTED BOOK: 151 Trading Strategies written by Zura Kakushadze and published by Springer. This book was released on 2018-12-13 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book provides detailed descriptions, including more than 550 mathematical formulas, for more than 150 trading strategies across a host of asset classes and trading styles. These include stocks, options, fixed income, futures, ETFs, indexes, commodities, foreign exchange, convertibles, structured assets, volatility, real estate, distressed assets, cash, cryptocurrencies, weather, energy, inflation, global macro, infrastructure, and tax arbitrage. Some strategies are based on machine learning algorithms such as artificial neural networks, Bayes, and k-nearest neighbors. The book also includes source code for illustrating out-of-sample backtesting, around 2,000 bibliographic references, and more than 900 glossary, acronym and math definitions. The presentation is intended to be descriptive and pedagogical and of particular interest to finance practitioners, traders, researchers, academics, and business school and finance program students.

Neural Information Processing

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Author : Tingwen Huang
Publisher : Springer
ISBN 13 : 3642344879
Total Pages : 740 pages
Book Rating : 4.6/5 (423 download)

Book Synopsis Neural Information Processing by : Tingwen Huang

Download or read book Neural Information Processing written by Tingwen Huang and published by Springer. This book was released on 2012-11-05 with total page 740 pages. Available in PDF, EPUB and Kindle. Book excerpt: The five volume set LNCS 7663, LNCS 7664, LNCS 7665, LNCS 7666 and LNCS 7667 constitutes the proceedings of the 19th International Conference on Neural Information Processing, ICONIP 2012, held in Doha, Qatar, in November 2012. The 423 regular session papers presented were carefully reviewed and selected from numerous submissions. These papers cover all major topics of theoretical research, empirical study and applications of neural information processing research. The 5 volumes represent 5 topical sections containing articles on theoretical analysis, neural modeling, algorithms, applications, as well as simulation and synthesis.

Forecasting: principles and practice

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Author : Rob J Hyndman
Publisher : OTexts
ISBN 13 : 0987507117
Total Pages : 380 pages
Book Rating : 4.9/5 (875 download)

Book Synopsis Forecasting: principles and practice by : Rob J Hyndman

Download or read book Forecasting: principles and practice written by Rob J Hyndman and published by OTexts. This book was released on 2018-05-08 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: Forecasting is required in many situations. Stocking an inventory may require forecasts of demand months in advance. Telecommunication routing requires traffic forecasts a few minutes ahead. Whatever the circumstances or time horizons involved, forecasting is an important aid in effective and efficient planning. This textbook provides a comprehensive introduction to forecasting methods and presents enough information about each method for readers to use them sensibly.

Hydrologic Time Series Analysis

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Author : Deepesh Machiwal
Publisher : Springer Science & Business Media
ISBN 13 : 9400718616
Total Pages : 316 pages
Book Rating : 4.4/5 (7 download)

Book Synopsis Hydrologic Time Series Analysis by : Deepesh Machiwal

Download or read book Hydrologic Time Series Analysis written by Deepesh Machiwal and published by Springer Science & Business Media. This book was released on 2012-03-05 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: There is a dearth of relevant books dealing with both theory and application of time series analysis techniques, particularly in the field of water resources engineering. Therefore, many hydrologists and hydrogeologists face difficulties in adopting time series analysis as one of the tools for their research. This book fills this gap by providing a proper blend of theoretical and practical aspects of time sereies analysis. It deals with a comprehensive overview of time series characteristics in hydrology/water resources engineering, various tools and techniques for analyzing time series data, theoretical details of 31 available statistical tests along with detailed procedures for applying them to real-world time series data, theory and methodology of stochastic modelling, and current status of time series analysis in hydrological sciences. In adition, it demonstrates the application of most time series tests through a case study as well as presents a comparative performance evaluation of various time series tests, together with four invited case studies from India and abroad. This book will not only serve as a textbook for the students and teachers in water resources engineering but will also serve as the most comprehensive reference to educate researchers/scientists about the theory and practice of time series analysis in hydrological sciences. This book will be very useful to the students, researchers, teachers and professionals involved in water resources, hydrology, ecology, climate change, earth science, and environmental studies.

Introduction to Modern Time Series Analysis

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Author : Gebhard Kirchgässner
Publisher : Springer Science & Business Media
ISBN 13 : 9783540687351
Total Pages : 288 pages
Book Rating : 4.6/5 (873 download)

Book Synopsis Introduction to Modern Time Series Analysis by : Gebhard Kirchgässner

Download or read book Introduction to Modern Time Series Analysis written by Gebhard Kirchgässner and published by Springer Science & Business Media. This book was released on 2008-08-27 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents modern developments in time series econometrics that are applied to macroeconomic and financial time series. It contains the most important approaches to analyze time series which may be stationary or nonstationary.

The Emperor's New Mind

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Author : Roger Penrose
Publisher : Oxford Paperbacks
ISBN 13 : 0192861980
Total Pages : 634 pages
Book Rating : 4.1/5 (928 download)

Book Synopsis The Emperor's New Mind by : Roger Penrose

Download or read book The Emperor's New Mind written by Roger Penrose and published by Oxford Paperbacks. This book was released on 1999-03-04 with total page 634 pages. Available in PDF, EPUB and Kindle. Book excerpt: Winner of the Wolf Prize for his contribution to our understanding of the universe, Penrose takes on the question of whether artificial intelligence will ever approach the intricacy of the human mind. 144 illustrations.