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Biologically Inspired Algorithms For Financial Modelling
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Book Synopsis Biologically Inspired Algorithms for Financial Modelling by : Anthony Brabazon
Download or read book Biologically Inspired Algorithms for Financial Modelling written by Anthony Brabazon and published by Springer Science & Business Media. This book was released on 2006-03-28 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: Predicting the future for financial gain is a difficult, sometimes profitable activity. The focus of this book is the application of biologically inspired algorithms (BIAs) to financial modelling. In a detailed introduction, the authors explain computer trading on financial markets and the difficulties faced in financial market modelling. Then Part I provides a thorough guide to the various bioinspired methodologies – neural networks, evolutionary computing (particularly genetic algorithms and grammatical evolution), particle swarm and ant colony optimization, and immune systems. Part II brings the reader through the development of market trading systems. Finally, Part III examines real-world case studies where BIA methodologies are employed to construct trading systems in equity and foreign exchange markets, and for the prediction of corporate bond ratings and corporate failures. The book was written for those in the finance community who want to apply BIAs in financial modelling, and for computer scientists who want an introduction to this growing application domain.
Author :Trilok Nath Pandey Publisher :Department of Political Science and Public Administration ISBN 13 :9785661930286 Total Pages :0 pages Book Rating :4.9/5 (32 download)
Book Synopsis FINANCIAL MODELING USING BIO-INSPIRED ALGORITHMS by : Trilok Nath Pandey
Download or read book FINANCIAL MODELING USING BIO-INSPIRED ALGORITHMS written by Trilok Nath Pandey and published by Department of Political Science and Public Administration. This book was released on 2022-08-17 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: newlineThe basis for this research originally stemmed from my passion for developing better and efficient methods to predict the time series financial data. As the world moves further into globalization and in this digital age, generating vast amounts of financial data and born digital content, there will be a greater need to access accurately the financial information about a country, so that it will help in economic growth of that country. Previously it is very difficult to get the parameters and technical indicators that affects the economy of a country. In most of the research works the researchers have used technical indicators as the parameters to predict the stock index and exchange rate of any country. These data are biased so they affect the prediction performance. It has been observed from the analysis of global market that the exchange rate and stock index of any country depends on the major stock indices and exchange rates of developed countries. Therefore, we have designed datasets by considering major stock indices of the world and exchange rates of developed G-7 countries to predict the future values of stock index and exchange rate of another country. In this research work, we have experimentally concluded that we can use the major stock indices of the world and exchange rates of developed countries as predictors. newlineMoreover, from the deep analysis, it has been observed that radial basis function neural networks are capable of universal approximation and are performing better than the other traditional prediction models for predicting the financial data. However, in many cases/instance, it is difficult to obtained the optimal parameters for the radial basis function neural network. Therefore, we have concentrated on designing and improving the efficiency of radial basis function neural networks by using bio-inspired algorithms. In this globalization era the economy of most of the country depends on the financial stability of other country. The prediction of financial data can be done more accurately if we could use better algorithms for prediction purpose. Researchers have suggested that neural networks based algorithms are performing better than traditional statistical algorithms and all most all the researchers are agreed that radial basis function network can be used as a universal approximator. Therefore, in our research work we have used radial basis function neural network as our prediction algorithm and then, we have improved its performance by fine tuning the parameters of the radial basis function neural network by using bio-inspired algorithm. One of the most popular bio-inspired algorithm is particle newlinevii newlineswarm optimization algorithm. It is widely used for solving optimization problems due to its simplicity and less number of parameters. Hence, we have considered canonical particle swarm optimization algorithm to fine tune the parameters of radial basis function neural network. From the experimental results we have observed that the performance of particle swarm optimized radial basis function neural network is performing better than the traditional radial basis function neural network algorithm. However, in this approach we have selected the particles randomly and the initial weights are updated by using the random number generator function. Further, we have analyzed that chaotic functions have better statistical and dynamical behavior than the random number generator function, which basically follows the normal distribution. Therefore, to improve the performance of the above model we have considered chaotic function instead of random number generator function to fine tune the inertia weights. Finally, based on the experimental results, we have compared our proposed model with other models. We have applied our proposed model to the three different areas in financial sector such as stock index prediction.
Book Synopsis Natural Computing in Computational Finance by : Anthony Brabazon
Download or read book Natural Computing in Computational Finance written by Anthony Brabazon and published by Springer Science & Business Media. This book was released on 2010-06-09 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: The chapters in this book illustrate the application of a range of cutting-edge natural computing and agent-based methodologies in computational finance and economics. The eleven chapters were selected following a rigorous, peer-reviewed, selection process.
Book Synopsis Biologically-Inspired Techniques for Knowledge Discovery and Data Mining by : Alam, Shafiq
Download or read book Biologically-Inspired Techniques for Knowledge Discovery and Data Mining written by Alam, Shafiq and published by IGI Global. This book was released on 2014-05-31 with total page 375 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biologically-inspired data mining has a wide variety of applications in areas such as data clustering, classification, sequential pattern mining, and information extraction in healthcare and bioinformatics. Over the past decade, research materials in this area have dramatically increased, providing clear evidence of the popularity of these techniques. Biologically-Inspired Techniques for Knowledge Discovery and Data Mining exemplifies prestigious research and shares the practices that have allowed these areas to grow and flourish. This essential reference publication highlights contemporary findings in the area of biologically-inspired techniques in data mining domains and their implementation in real-life problems. Providing quality work from established researchers, this publication serves to extend existing knowledge within the research communities of data mining and knowledge discovery, as well as for academicians and students in the field.
Book Synopsis System and Circuit Design for Biologically-Inspired Intelligent Learning by : Temel, Turgay
Download or read book System and Circuit Design for Biologically-Inspired Intelligent Learning written by Temel, Turgay and published by IGI Global. This book was released on 2010-10-31 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The objective of the book is to introduce and bring together well-known circuit design aspects, as well as to cover up-to-date outcomes of theoretical studies in decision-making, biologically-inspired, and artificial intelligent learning techniques"--Provided by publisher.
Author :Leandro dos Santos Coelho Publisher :Springer Science & Business Media ISBN 13 :3540785310 Total Pages :168 pages Book Rating :4.5/5 (47 download)
Book Synopsis Quantum Inspired Intelligent Systems by : Leandro dos Santos Coelho
Download or read book Quantum Inspired Intelligent Systems written by Leandro dos Santos Coelho and published by Springer Science & Business Media. This book was released on 2008-05-29 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: Research on applying principles of quantum computing to improve the engineering of intelligent systems has been launched since late 1990s. This emergent research field concentrates on studying on quantum computing that is characterized by certain principles of quantum mechanics such as standing waves, interference, quantum bits, coherence, superposition of states, and concept of interference, combined with computational intelligence or soft computing approaches, such as artificial neural networks, fuzzy systems, evolutionary computing, swarm intelligence and hybrid soft computing methods. This volume offers a wide spectrum of research work developed using soft computing combined with quantum computing systems.
Book Synopsis Machine Learning for Computer and Cyber Security by : Brij B. Gupta
Download or read book Machine Learning for Computer and Cyber Security written by Brij B. Gupta and published by CRC Press. This book was released on 2019-02-05 with total page 333 pages. Available in PDF, EPUB and Kindle. Book excerpt: While Computer Security is a broader term which incorporates technologies, protocols, standards and policies to ensure the security of the computing systems including the computer hardware, software and the information stored in it, Cyber Security is a specific, growing field to protect computer networks (offline and online) from unauthorized access, botnets, phishing scams, etc. Machine learning is a branch of Computer Science which enables computing machines to adopt new behaviors on the basis of observable and verifiable data and information. It can be applied to ensure the security of the computers and the information by detecting anomalies using data mining and other such techniques. This book will be an invaluable resource to understand the importance of machine learning and data mining in establishing computer and cyber security. It emphasizes important security aspects associated with computer and cyber security along with the analysis of machine learning and data mining based solutions. The book also highlights the future research domains in which these solutions can be applied. Furthermore, it caters to the needs of IT professionals, researchers, faculty members, scientists, graduate students, research scholars and software developers who seek to carry out research and develop combating solutions in the area of cyber security using machine learning based approaches. It is an extensive source of information for the readers belonging to the field of Computer Science and Engineering, and Cyber Security professionals. Key Features: This book contains examples and illustrations to demonstrate the principles, algorithms, challenges and applications of machine learning and data mining for computer and cyber security. It showcases important security aspects and current trends in the field. It provides an insight of the future research directions in the field. Contents of this book help to prepare the students for exercising better defense in terms of understanding the motivation of the attackers and how to deal with and mitigate the situation using machine learning based approaches in better manner.
Book Synopsis Hybrid Artificial Intelligent Systems, Part I by : Manuel Grana Romay
Download or read book Hybrid Artificial Intelligent Systems, Part I written by Manuel Grana Romay and published by Springer Science & Business Media. This book was released on 2010-06-11 with total page 634 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 5th International Conference on Hybrid Artificial Intelligent Systems, held in San Sebastian, Spain, in June 2010.
Book Synopsis Hybrid Artificial Intelligent Systems, Part I by : Manuel Grana Romay
Download or read book Hybrid Artificial Intelligent Systems, Part I written by Manuel Grana Romay and published by Springer. This book was released on 2010-06-14 with total page 606 pages. Available in PDF, EPUB and Kindle. Book excerpt: th The 5 International Conference on Hybrid Artificial Intelligence Systems (HAIS 2010) has become a unique, established and broad interdisciplinary forum for researchers and practitioners who are involved in developing and applying symbolic and sub-symbolic techniques aimed at the construction of highly robust and reliable problem-solving techniques, and bringing the most relevant achievements in this field. Overcoming the rigid encasing imposed by the arising orthodoxy in the field of arti- cial intelligence, which has led to the partition of researchers into so-called areas or fields, interest in hybrid intelligent systems is growing because they give freedom to design innovative solutions to the ever-increasing complexities of real-world pr- lems. Noise and uncertainty call for probabilistic (often Bayesian) methods, while the huge amount of data in some cases asks for fast heuristic (in the sense of suboptimal and ad-hoc) algorithms able to give answers in acceptable time frames. High dim- sionality demands linear and non-linear dimensionality reduction and feature extr- tion algorithms, while the imprecision and vagueness call for fuzzy reasoning and linguistic variable formalization. Nothing impedes real-life problems to mix diffic- ties, presenting huge quantities of noisy, vague and high-dimensional data; therefore, the design of solutions must be able to resort to any tool of the trade to attack the problem. Combining diverse paradigms poses challenging problems of computational and methodological interfacing of several previously incompatible approaches. This is, thus, the setting of HAIS conference series, and its increasing success is the proof of the vitality of this exciting field.
Author :Management Association, Information Resources Publisher :IGI Global ISBN 13 :1522556443 Total Pages :2351 pages Book Rating :4.5/5 (225 download)
Book Synopsis Intelligent Systems: Concepts, Methodologies, Tools, and Applications by : Management Association, Information Resources
Download or read book Intelligent Systems: Concepts, Methodologies, Tools, and Applications written by Management Association, Information Resources and published by IGI Global. This book was released on 2018-06-04 with total page 2351 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ongoing advancements in modern technology have led to significant developments in intelligent systems. With the numerous applications available, it becomes imperative to conduct research and make further progress in this field. Intelligent Systems: Concepts, Methodologies, Tools, and Applications contains a compendium of the latest academic material on the latest breakthroughs and recent progress in intelligent systems. Including innovative studies on information retrieval, artificial intelligence, and software engineering, this multi-volume book is an ideal source for researchers, professionals, academics, upper-level students, and practitioners interested in emerging perspectives in the field of intelligent systems.
Book Synopsis Critical Examinations of Distance Education Transformation across Disciplines by : Scheg, Abigail G.
Download or read book Critical Examinations of Distance Education Transformation across Disciplines written by Scheg, Abigail G. and published by IGI Global. This book was released on 2014-10-31 with total page 333 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, distance education programs have grown to allow greater educational opportunities to a diverse set of learners from all over the world. As remote learning becomes a widespread practice, universities too must adapt to this changing educational landscape. Critical Examinations of Distance Education Transformation across Disciplines provides an interdisciplinary look at the development of distance learning in higher education. This reference work bridges the gap between disciplines by offering practical tools and solutions for successful distance education implementation. Educators, administrators, and researchers across academia will find this publication a timely and relevant resource.
Book Synopsis Enhancing Qualitative and Mixed Methods Research with Technology by : Hai-Jew, Shalin
Download or read book Enhancing Qualitative and Mixed Methods Research with Technology written by Hai-Jew, Shalin and published by IGI Global. This book was released on 2014-09-30 with total page 643 pages. Available in PDF, EPUB and Kindle. Book excerpt: In light of the expensive nature of quantitative research, such as experiments, researchers must seek other methods of understanding the world around them. As such, new qualitative methods are gaining ground in the modern research community. Enhancing Qualitative and Mixed Methods Research with Technology explores the integration of new digital tools into the research process. Including current information on data visualization, research design, information capture, as well as social media analysis, this publication serves as an ideal reference source for academicians, scientists, information specialists, business managers, and upper-level students involved in interdisciplinary research.
Book Synopsis Applications of Evolutionary Computing by : Mario Giacobini
Download or read book Applications of Evolutionary Computing written by Mario Giacobini and published by Springer Science & Business Media. This book was released on 2007-04-02 with total page 775 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed joint proceedings of seven workshops on evolutionary computing, EvoWorkshops 2007, held in Valencia, Spain in April 2007. It examines evolutionary computation in communications, networks, and connected systems; finance and economics; image analysis and signal processing; and transportation and logistics. Coverage also details evolutionary algorithms in stochastic and dynamic environments.
Book Synopsis Cases on Research-Based Teaching Methods in Science Education by : de Silva, Eugene
Download or read book Cases on Research-Based Teaching Methods in Science Education written by de Silva, Eugene and published by IGI Global. This book was released on 2014-08-31 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: While the great scientists of the past recognized a need for a multidisciplinary approach, today’s schools often treat math and science as subjects separate from the rest. This not only creates a disinterest among students, but also a potential learning gap once students reach college and then graduate into the workforce. Cases on Research-Based Teaching Methods in Science Education addresses the problems currently facing science education in the USA and the UK, and suggests a new hands-on approach to learning. This book is an essential reference source for policymakers, academicians, researchers, educators, curricula developers, and teachers as they strive to improve education at the elementary, secondary, and collegiate levels.
Book Synopsis Cases on Technology Integration in Mathematics Education by : Polly, Drew
Download or read book Cases on Technology Integration in Mathematics Education written by Polly, Drew and published by IGI Global. This book was released on 2014-09-30 with total page 521 pages. Available in PDF, EPUB and Kindle. Book excerpt: Common Core education standards establish a clear set of specific ideas and skills that all students should be able comprehend at each grade level. In an effort to meet these standards, educators are turning to technology for improved learning outcomes. Cases on Technology and Common Core Mathematics provides a compilation of cases and vignettes about the application of technology in the classroom in order to enhance student understanding of math concepts. This book is a timely reference source for mathematics educators, educational technologists, and school district leaders employed in the mathematics education or educational technology fields.
Book Synopsis Artificial Immune Systems by : Carlos A. Coello-Coello
Download or read book Artificial Immune Systems written by Carlos A. Coello-Coello and published by Springer. This book was released on 2012-08-27 with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 11th International Conference on Artificial Immune Systems, ICARIS 2012, held in Taormia, Italy, in August 2012. The 19 revised selected papers presented were carefully reviewed and selected for inclusion in this book. In addition 4 papers of the workshop on bio and immune inspired algorithms and models for multi-level complex systems are included in this volume. Artificial immune systems (AIS) is a diverse and maturing area of research that bridges the disciplines of immunology, biology, medical science, computer science, physics, mathematics and engineering. The scope of AIS ranges from modelling and simulation of the immune system through to immune-inspired algorithms and in silico, in vitro and in vivo solutions.
Book Synopsis The Oxford Handbook of Computational Economics and Finance by : Shu-Heng Chen
Download or read book The Oxford Handbook of Computational Economics and Finance written by Shu-Heng Chen and published by Oxford University Press. This book was released on 2018 with total page 785 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is an insightful survey of approaches to computational analysis of economics and finance.
