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Explainable Artificial Intelligence Based On Neuro Fuzzy Modeling With Applications In Finance


Explainable Artificial Intelligence Based On Neuro Fuzzy Modeling With Applications In Finance
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Explainable Artificial Intelligence Based On Neuro Fuzzy Modeling With Applications In Finance


Explainable Artificial Intelligence Based On Neuro Fuzzy Modeling With Applications In Finance
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Author : Tom Rutkowski
language : en
Publisher: Springer Nature
Release Date : 2021-06-07

Explainable Artificial Intelligence Based On Neuro Fuzzy Modeling With Applications In Finance written by Tom Rutkowski and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-07 with Technology & Engineering categories.


The book proposes techniques, with an emphasis on the financial sector, which will make recommendation systems both accurate and explainable. The vast majority of AI models work like black box models. However, in many applications, e.g., medical diagnosis or venture capital investment recommendations, it is essential to explain the rationale behind AI systems decisions or recommendations. Therefore, the development of artificial intelligence cannot ignore the need for interpretable, transparent, and explainable models. First, the main idea of the explainable recommenders is outlined within the background of neuro-fuzzy systems. In turn, various novel recommenders are proposed, each characterized by achieving high accuracy with a reasonable number of interpretable fuzzy rules. The main part of the book is devoted to a very challenging problem of stock market recommendations. An original concept of the explainable recommender, based on patterns from previous transactions, is developed; it recommends stocks that fit the strategy of investors, and its recommendations are explainable for investment advisers.



Modeling Complex Processes Through Nature Analogous Methods


Modeling Complex Processes Through Nature Analogous Methods
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Author : Christina Klüver
language : en
Publisher: Springer Nature
Release Date : 2025-04-29

Modeling Complex Processes Through Nature Analogous Methods written by Christina Klüver and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-29 with Computers categories.


This book is an introduction to nature-analogous techniques and related formal methods. For each technique, application examples are provided. It covers cellular automata and Boolean networks, evolutionary algorithms, as well as simulated annealing, fuzzy methods, neural networks, and finally hybrid systems, i.e., combinations of various techniques. Based on the theory of complex dynamic systems, theoretical foundations are also presented, and the similarities of these seemingly very heterogeneous techniques are pointed out. The edition has been revised and expanded with current trends such as ChatGPT.



Explainable Artificial Intelligence In The Digital Sustainability Administration


Explainable Artificial Intelligence In The Digital Sustainability Administration
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Author : Alhamzah Alnoor
language : en
Publisher: Springer Nature
Release Date : 2024-06-28

Explainable Artificial Intelligence In The Digital Sustainability Administration written by Alhamzah Alnoor and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-28 with Computers categories.


This book explores current research trends in the context of the explainable artificial intelligence’s impact on the digital sustainability trend while delving into case studies on education, tourism, marketing, and finance. These trends are examined through various case studies utilizing distinct analytical methods. The chapters are expected to support scholars and postgraduate students in furthering their research in this field and in recognizing prospective advancements in the applications of artificial intelligence.



Intelligence Systems For Earth Environmental And Planetary Sciences


Intelligence Systems For Earth Environmental And Planetary Sciences
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Author : Hossein Bonakdari
language : en
Publisher: Elsevier
Release Date : 2024-07-30

Intelligence Systems For Earth Environmental And Planetary Sciences written by Hossein Bonakdari and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-30 with Science categories.


Intelligence Systems for Earth, Environmental and Planetary Sciences: Methods, Models and Applications provides cutting-edge theory and applications of modern-day artificial intelligence and data science in the Earth, environment, and planetary science fields. The book is divided into three sections: (i) Methods, covering the fundamentals of intelligence systems, along with an introduction to the preparation of datasets; (ii) Models, detailing model development, data assimilation, and techniques in each field; and (iii) Applications, presenting case studies of artificial intelligence and data science solutions to Earth, environmental, and planetary sciences problems, as well as future perspectives.Intelligence Systems for Earth, Environmental and Planetary Sciences will be of interest to students, academics, and postgraduate professionals in the field of applied sciences, Earth, environmental, and planetary sciences and would also serve as an excellent companion resource to courses studying artificial intelligence applications for theoretical and practical studies in Earth, environmental, and planetary sciences. - Facilitates the application of artificial intelligence and data science systems to create comprehensive methodologies for analyzing, processing, predicting, and management strategies in the fields of Earth, environment, and planetary science - Developed with an interdisciplinary framework, with an aim to promote artificial intelligence models for real-time Earth systems - Includes a section on case studies of artificial intelligence and data science solutions to Earth, environmental, and planetary sciences problems, as well as future perspectives



Artificial Intelligence Methodology Systems And Applications


Artificial Intelligence Methodology Systems And Applications
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Author : Petia Koprinkova-Hristova
language : en
Publisher: Springer Nature
Release Date : 2025-01-31

Artificial Intelligence Methodology Systems And Applications written by Petia Koprinkova-Hristova and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-31 with Computers categories.


This book constitutes the refereed proceedings of the 19th International Conference on Artificial Intelligence: Methodology, Systems, and Applications, AIMSA 2024, held in Varna, Bulgaria, during September 18–20, 2024. The 18 revised full papers presented in this book were carefully reviewed and selected from 23 submissions. They cover a wide range of topics in AI and its applications: natural language processing, sentiment analyses, image processing, optimization, reinforcement learning, from deep ANNs to spike timing NNs, applications in economics, medicine and process control.



Digitalization In Additive Manufacturing


Digitalization In Additive Manufacturing
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Author : Numan M. Durakbasa
language : en
Publisher: Springer Nature
Release Date : 2025-07-14

Digitalization In Additive Manufacturing written by Numan M. Durakbasa and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-14 with Technology & Engineering categories.


This book features a selection of papers presented at the 8th International Congress on 3D Printing Technologies and Digital Industry 2024 (3D-PTC2024), held from September 6–8, 2024, in Antalya, Türkiye, in a hybrid format. It covers several topics reflecting the dynamic landscape of additive manufacturing and digital innovation. The chapters explore cutting-edge advancements in materials and techniques, alongside practical applications in medical, dental, and industrial realms. Digital design, simulation, and sustainability considerations are presented with discussions on regulatory frameworks and future trends, offering a comprehensive view of this transformative field.



Operations Management


Operations Management
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Author : Antonella Petrillo
language : en
Publisher: BoD – Books on Demand
Release Date : 2021-03-03

Operations Management written by Antonella Petrillo and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-03 with Business & Economics categories.


Global competition has caused fundamental changes in the competitive environment of the manufacturing and service industries. Firms should develop strategic objectives that, upon achievement, result in a competitive advantage in the market place. The forces of globalization on one hand and rapidly growing marketing opportunities overseas, especially in emerging economies on the other, have led to the expansion of operations on a global scale. The book aims to cover the main topics characterizing operations management including both strategic issues and practical applications. A global environmental business including both manufacturing and services is analyzed. The book contains original research and application chapters from different perspectives. It is enriched through the analyses of case studies.



Decision Making Models


Decision Making Models
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Author : Tofigh Allahviranloo
language : en
Publisher: Elsevier
Release Date : 2024-07-24

Decision Making Models written by Tofigh Allahviranloo and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-24 with Computers categories.


Decision Making Models: A Perspective of Fuzzy Logic and Machine Learning presents the latest developments in the field of uncertain mathematics and decision science. The book aims to deliver a systematic exposure to soft computing techniques in fuzzy mathematics as well as artificial intelligence in the context of real-life problems and is designed to address recent techniques to solving uncertain problems encountered specifically in decision sciences. Researchers, professors, software engineers, and graduate students working in the fields of applied mathematics, software engineering, and artificial intelligence will find this book useful to acquire a solid foundation in fuzzy logic and fuzzy systems, optimization problems and artificial intelligence practices, as well as how to analyze IoT solutions with applications and develop decision making mechanisms realized under uncertainty. - Introduces mathematics of intelligent systems which provides the usage of mathematical rigor such as precise definitions, theorems, results, and proofs - Provides extended and new comprehensive methods which can be used efficiently in a fuzzy environment as well as optimization problems and related fields - Covers applications and elaborates on the usage of the developed methodology in various fields of industry such as software technologies, biomedicine, image processing, and communications



Economic Modeling Using Artificial Intelligence Methods


Economic Modeling Using Artificial Intelligence Methods
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Author : Tshilidzi Marwala
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-04-02

Economic Modeling Using Artificial Intelligence Methods written by Tshilidzi Marwala and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-02 with Computers categories.


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.



Modellierung Komplexer Prozesse Durch Naturanaloge Verfahren


Modellierung Komplexer Prozesse Durch Naturanaloge Verfahren
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Author : Christina Klüver
language : de
Publisher: Springer-Verlag
Release Date : 2024-03-20

Modellierung Komplexer Prozesse Durch Naturanaloge Verfahren written by Christina Klüver and has been published by Springer-Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-20 with Computers categories.


Dieses Buch ist eine Einführung in naturanaloge Techniken und verwandte formale Methoden. Zu jeder Technik werden Anwendungsbeispiele gegeben. Dargestellt werden Zellularautomaten und Boolesche Netze, Evolutionäre Algorithmen sowie Simulated Annealing, Fuzzy-Methoden, Neuronale Netze und schließlich Hybride Systeme, d.h. Koppelungen verschiedener dieser Techniken. Auf der Basis der Theorie komplexer dynamischer Systeme werden zusätzlich theoretische Grundlagen dargestellt und es wird auf die Gemeinsamkeiten der auf einen ersten Blick sehr heterogenen Techniken hingewiesen. Die Auflage wurde überarbeitet und erweitert mit aktuellen Trends wie ChatGPT.