New Classification Method Based On Modular Neural Networks With The Lvq Algorithm And Type 2 Fuzzy Logic
DOWNLOAD
Download New Classification Method Based On Modular Neural Networks With The Lvq Algorithm And Type 2 Fuzzy Logic PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get New Classification Method Based On Modular Neural Networks With The Lvq Algorithm And Type 2 Fuzzy Logic book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
New Classification Method Based On Modular Neural Networks With The Lvq Algorithm And Type 2 Fuzzy Logic
DOWNLOAD
Author : Jonathan Amezcua
language : en
Publisher: Springer
Release Date : 2018-02-05
New Classification Method Based On Modular Neural Networks With The Lvq Algorithm And Type 2 Fuzzy Logic written by Jonathan Amezcua and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-05 with Technology & Engineering categories.
In this book a new model for data classification was developed. This new model is based on the competitive neural network Learning Vector Quantization (LVQ) and type-2 fuzzy logic. This computational model consists of the hybridization of the aforementioned techniques, using a fuzzy logic system within the competitive layer of the LVQ network to determine the shortest distance between a centroid and an input vector. This new model is based on a modular LVQ architecture to further improve its performance on complex classification problems. It also implements a data-similarity process for preprocessing the datasets, in order to build dynamic architectures, having the classes with the highest degree of similarity in different modules. Some architectures were developed in order to work mainly with two datasets, an arrhythmia dataset (using ECG signals) for classifying 15 different types of arrhythmias, and a satellite images segments dataset used for classifying six different types of soil. Both datasets show interesting features that makes them interesting for testing new classification methods.
Data Science Concepts And Techniques With Applications
DOWNLOAD
Author : Usman Qamar
language : en
Publisher: Springer Nature
Release Date : 2020-06-08
Data Science Concepts And Techniques With Applications written by Usman Qamar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-08 with Computers categories.
This book comprehensively covers the topic of data science. Data science is an umbrella term that encompasses data analytics, data mining, machine learning, and several other related disciplines. This book synthesizes both fundamental and advanced topics of a research area that has now reached maturity. The chapters of this book are organized into three sections: The first section is an introduction to data science. Starting from the basic concepts, the book will highlight the types of data, its use, its importance and issues that are normally faced in data analytics. Followed by discussion on wide range of applications of data science and widely used techniques in data science. The second section is devoted to the tools and techniques of data science. It consists of data pre-processing, feature selection, classification and clustering concepts as well as an introduction to text mining and opining mining. And finally, the third section of the book focuses on two programming languages commonly used for data science projects i.e. Python and R programming language. Although this book primarily serves as a textbook, it will also appeal to industrial practitioners and researchers due to its focus on applications and references. The book is suitable for both undergraduate and postgraduate students as well as those carrying out research in data science. It can be used as a textbook for undergraduate students in computer science, engineering and mathematics. It can also be accessible to undergraduate students from other areas with the adequate background. The more advanced chapters can be used by postgraduate researchers intending to gather a deeper theoretical understanding.
Intuitionistic And Type 2 Fuzzy Logic Enhancements In Neural And Optimization Algorithms Theory And Applications
DOWNLOAD
Author : Oscar Castillo
language : en
Publisher: Springer Nature
Release Date : 2020-02-27
Intuitionistic And Type 2 Fuzzy Logic Enhancements In Neural And Optimization Algorithms Theory And Applications written by Oscar Castillo and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-27 with Technology & Engineering categories.
This book describes the latest advances in fuzzy logic, neural networks, and optimization algorithms, as well as their hybrid intelligent combinations, and their applications in the areas such as intelligent control, robotics, pattern recognition, medical diagnosis, time series prediction, and optimization. The topic is highly relevant as most current intelligent systems and devices use some form of intelligent feature to enhance their performance. The book also presents new and advanced models and algorithms of type-2 fuzzy logic and intuitionistic fuzzy systems, which are of great interest to researchers in these areas. Further, it proposes novel, nature-inspired optimization algorithms and innovative neural models. Featuring contributions on theoretical aspects as well as applications, the book appeals to a wide audience.
Nature Inspired Design Of Hybrid Intelligent Systems
DOWNLOAD
Author : Patricia Melin
language : en
Publisher: Springer
Release Date : 2016-12-08
Nature Inspired Design Of Hybrid Intelligent Systems written by Patricia Melin and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-08 with Technology & Engineering categories.
This book highlights recent advances in the design of hybrid intelligent systems based on nature-inspired optimization and their application in areas such as intelligent control and robotics, pattern recognition, time series prediction, and optimization of complex problems. The book is divided into seven main parts, the first of which addresses theoretical aspects of and new concepts and algorithms based on type-2 and intuitionistic fuzzy logic systems. The second part focuses on neural network theory, and explores the applications of neural networks in diverse areas, such as time series prediction and pattern recognition. The book’s third part presents enhancements to meta-heuristics based on fuzzy logic techniques and describes new nature-inspired optimization algorithms that employ fuzzy dynamic adaptation of parameters, while the fourth part presents diverse applications of nature-inspired optimization algorithms. In turn, the fifth part investigates applications of fuzzy logic in diverse areas, such as time series prediction and pattern recognition. The sixth part examines new optimization algorithms and their applications. Lastly, the seventh part is dedicated to the design and application of different hybrid intelligent systems.
Europe In The New World Economy Opportunities And Challenges
DOWNLOAD
Author : Luminita Chivu
language : en
Publisher: Springer Nature
Release Date : 2024-11-25
Europe In The New World Economy Opportunities And Challenges written by Luminita Chivu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-25 with Business & Economics categories.
The transition from traditional economic patterns to a model marked by enhanced efficiency, environmental responsibility, and the adaptation to a “new normal” economic philosophy marks a pivotal moment in understanding Europe’s economic ecosystem within the new world economy. However, the reliance on conventional economic philosophies has often overlooked the broader economic and social landscapes in which these paradigms operate. This volume explores emerging research topics, methodologies, and techniques that are essential to understanding the global economy dynamics and growth patterns under crisis circumstances and persistent uncertainties. Featuring contributions presented at the 2023 International Conference “Economic Scientific Research - Theoretical, Empirical and Practical Approaches” (ESPERA) held in Bucharest Romania in honor of the 50th Anniversary of the National Institute for Economic Research “Costin C. Kiritescu” of the Romanian Academy, this book offers theoretical and practical contributions as well as quantitative and qualitative analyses providing valuable inputs for the design of adequate strategies and policies, aimed to address the future challenges and to capitalize on the emerged opportunities. From sustainable development to digital innovation, this book examines the dynamic landscape of European economics and underscores the significance of interdisciplinary approaches and technological advancements in fostering economic resilience and growth. The contents of this book are of interest to scholars, researchers, students, practitioners, and policy makers in economics and business transformation.
Proceedings Of 23rd International Conference On Informatics In Economy Ie 2024
DOWNLOAD
Author : Cristian Ciurea
language : en
Publisher: Springer Nature
Release Date : 2025-04-12
Proceedings Of 23rd International Conference On Informatics In Economy Ie 2024 written by Cristian Ciurea and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-12 with Computers categories.
This book includes high-quality research papers presented at 23rd International Conference on Informatics in Economy (IE 2024), which is held in Bucharest, Romania, during May 2024. This book covers research results in business informatics and related computer science topics, such as IoT, mobile-embedded and multimedia solutions, e-society, enterprise and business solutions, databases and big data, artificial intelligence, data mining and machine learning, quantitative economics.
Fuzzy Information Processing 2020
DOWNLOAD
Author : Barnabás Bede
language : en
Publisher: Springer Nature
Release Date : 2021-12-08
Fuzzy Information Processing 2020 written by Barnabás Bede and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-08 with Technology & Engineering categories.
This book describes how to use expert knowledge—which is often formulated by using imprecise (fuzzy) words from a natural language. In the 1960s, Zadeh designed special "fuzzy" techniques for such use. In the 1980s, fuzzy techniques started controlling trains, elevators, video cameras, rice cookers, car transmissions, etc. Now, combining fuzzy with neural, genetic, and other intelligent methods leads to new state-of-the-art results: in aerospace industry (from drones to space flights), in mobile robotics, in finances (predicting the value of crypto-currencies), and even in law enforcement (detecting counterfeit banknotes, detecting online child predators and in creating explainable AI systems). The book describes these (and other) applications—as well as foundations and logistics of fuzzy techniques. This book can be recommended to specialists—both in fuzzy and in various application areas—who will learn latest techniques and their applications, and to students interested in innovative ideas.
Hybrid Intelligent Systems Based On Extensions Of Fuzzy Logic Neural Networks And Metaheuristics
DOWNLOAD
Author : Oscar Castillo
language : en
Publisher: Springer Nature
Release Date : 2023-06-12
Hybrid Intelligent Systems Based On Extensions Of Fuzzy Logic Neural Networks And Metaheuristics written by Oscar Castillo and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-12 with Technology & Engineering categories.
In this book, recent theoretical developments on fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations, are presented. In addition, the above-mentioned methods are presented in application areas such as, intelligent control and robotics, pattern recognition, medical diagnosis, decision-making, time series prediction and optimization of complex problems. The book contains a collection of papers focused on hybrid intelligent systems based on soft computing techniques. There are a group of papers with the main theme of type-1 and type-2 fuzzy logic, which basically consists of papers that propose new concepts and algorithms based on type-1 and type-2 fuzzy logic and their applications. There also a group of papers that offer theoretical concepts and applications of meta-heuristics in different areas. Another group of papers outlines diverse applications of fuzzy logic, neural networks and hybrid intelligent systems in medical problems. There are also some papers that present theory and practice of neural networks in different application areas. In addition, there are papers that offer theory and practice of optimization and evolutionary algorithms in different application areas. Finally, there are a group of papers describing applications of fuzzy logic, neural networks and meta-heuristics in pattern recognition and classification problems.
Recent Advances On Hybrid Approaches For Designing Intelligent Systems
DOWNLOAD
Author : Oscar Castillo
language : en
Publisher: Springer
Release Date : 2014-03-26
Recent Advances On Hybrid Approaches For Designing Intelligent Systems written by Oscar Castillo and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-03-26 with Technology & Engineering categories.
This book describes recent advances on hybrid intelligent systems using soft computing techniques for diverse areas of application, such as intelligent control and robotics, pattern recognition, time series prediction and optimization complex problems. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks and bio-inspired optimization algorithms, which can be used to produce powerful hybrid intelligent systems. The book is organized in five main parts, which contain a group of papers around a similar subject. The first part consists of papers with the main theme of type-2 fuzzy logic, which basically consists of papers that propose new models and applications for type-2 fuzzy systems. The second part contains papers with the main theme of bio-inspired optimization algorithms, which are basically papers using nature-inspired techniques to achieve optimization of complex optimization problems in diverse areas of application. The third part contains papers that deal with new models and applications of neural networks in real world problems. The fourth part contains papers with the theme of intelligent optimization methods, which basically consider the proposal of new methods of optimization to solve complex real world optimization problems. The fifth part contains papers with the theme of evolutionary methods and intelligent computing, which are papers considering soft computing methods for applications related to diverse areas, such as natural language processing, recommending systems and optimization.
Recent Advances Of Hybrid Intelligent Systems Based On Soft Computing
DOWNLOAD
Author : Patricia Melin
language : en
Publisher: Springer Nature
Release Date : 2020-11-06
Recent Advances Of Hybrid Intelligent Systems Based On Soft Computing written by Patricia Melin and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-06 with Technology & Engineering categories.
This book describes recent advances on fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations, and their application in areas such as intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction and optimization of complex problems. The book contains a collection of papers focused on hybrid intelligent systems based on soft computing. There are some papers with the main theme of type-1 and type-2 fuzzy logic, which basically consists of papers that propose new concepts and algorithms based on type-1 and type-2 fuzzy logic and their applications. There are also some papers that present theory and practice of meta-heuristics in different areas of application. Another group of papers describes diverse applications of fuzzy logic, neural networks and hybrid intelligent systems in medical applications. There are also some papers that present theory and practice of neural networks in different areas of application. In addition, there are papers that present theory and practice of optimization and evolutionary algorithms in different areas of application. Finally, there are some papers describing applications of fuzzy logic, neural networks and meta-heuristics in pattern recognition problems.