Soft Computing And Machine Learning With Python

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Soft Computing And Machine Learning With Python

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Author : Zoran Gacovski
language : en
Publisher: Arcler Press
Release Date : 2018-12

Soft Computing And Machine Learning With Python written by Zoran Gacovski and has been published by Arcler Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12 with Computers categories.

A definition states that the machine learning is a discipline that allows the computers to learn without explicit programming. The challenge in machine learning is how to accurately (algorithmic) describe some kinds of tasks that people can easily solve (for example face recognition, speech recognition etc.). Such algorithms can be defined for certain types of tasks, but they are very complex and/or require large knowledge base (e.g. machine translation MT). In many of the areas - data are continuously collected in order to get "some knowledge out of them" for example - in medicine (patient data and therapy), in marketing (the users / customers and what they buy, what are they interested in, how products are rated etc.). Data analysis of this scale requires approaches that will allow you to discover patterns and dependences among the data, that are neither known, nor obvious, but can be useful (data mining). Information retrieval - IR, is finding existing information as quickly as possible. For example, web browser - finds page within the (large) set of the entire WWW. Machine Learning - ML, is a set of techniques that generalize existing knowledge of the new information, as precisely as possible. An example is the speech recognition. Data mining - DM, primarily relates to the disclosure of something hidden within the data, some new dependence, which have not previously been known. Example is CRM - the customer analysis. Python is high-level programming language that is very suitable for web development, programming of games, and data manipulation / machine learning applications. It is object-oriented language and interpreter as well, allowing the source code to execute directly (without compiling). This edition covers machine learning theory and applications with Python, and includes chapters for soft computing theory, machine learning techniques/applications, Python language details, and machine learning examples with Python. Book jacket.

Soft Computing And Machine Learning

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Author : Mohd Anas Wajid
language : en
Publisher: CRC Press
Release Date : 2025-04-28

Soft Computing And Machine Learning written by Mohd Anas Wajid and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-28 with Computers categories.

This reference text covers the theory and applications of soft computing and machine learning and presents readers with the intelligent fuzzy and neutrosophic rules that require situations where classical modeling approaches cannot be utilized, such as when there is incomplete, unclear, or imprecise information at hand or inadequate data. It further illustrates topics such as image processing, and power system analysis. This book: Discusses soft computing techniques including fuzzy Logic, rough sets, neutrosophic sets, neural networks, generative adversarial networks, and evolutionary computation Examines novel and contemporary advances in the fields of soft computing, fuzzy computing, neutrosophic computing, and machine learning systems, as well as their applications in real life Serves as a comprehensive reference for applying machine learning and neutrosophic sets in real-world applications such as smart cities, healthcare, and the Internet of Things Covers topics such as image processing, bioinformatics, natural language processing, supply chain management, and cybernetics Illustrates classification of neutrosophic machine learning, neutrosophic reinforcement learning, and applications of neutrosophic machine learning in emerging industries The text is written for senior undergraduate students, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, and information technology.

Principles Of Soft Computing Using Python Programming

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Author : Gypsy Nandi
language : en
Publisher: John Wiley & Sons
Release Date : 2023-12-19

Principles Of Soft Computing Using Python Programming written by Gypsy Nandi and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-19 with Computers categories.

Principles of Soft Computing Using Python Programming An accessible guide to the revolutionary techniques of soft computing Soft computing is a computing approach designed to replicate the human mind’s unique capacity to integrate uncertainty and imprecision into its reasoning. It is uniquely suited to computing operations where rigid analytical models will fail to account for the variety and ambiguity of possible solutions. As machine learning and artificial intelligence become more and more prominent in the computing landscape, the potential for soft computing techniques to revolutionize computing has never been greater. Principles of Soft Computing Using Python Programming provides readers with the knowledge required to apply soft computing models and techniques to real computational problems. Beginning with a foundational discussion of soft or fuzzy computing and its differences from hard computing, it describes different models for soft computing and their many applications, both demonstrated and theoretical. The result is a set of tools with the potential to produce new solutions to the thorniest computing problems. Readers of Principles of Soft Computing Using Python Programming will also find: Each chapter accompanied with Python codes and step-by-step comments to illustrate applications Detailed discussion of topics including artificial neural networks, rough set theory, genetic algorithms, and more Exercises at the end of each chapter including both short- and long-answer questions to reinforce learning Principles of Soft Computing Using Python Programming is ideal for researchers and engineers in a variety of fields looking for new solutions to computing problems, as well as for advanced students in programming or the computer sciences.

Artificial Intelligence And Soft Computing

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Author : Leszek Rutkowski
language : en
Publisher: Springer
Release Date : 2015-06-04

Artificial Intelligence And Soft Computing written by Leszek Rutkowski and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-06-04 with Computers categories.

The two-volume set LNAI 9119 and LNAI 9120 constitutes the refereed proceedings of the 14th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2015, held in Zakopane, Poland in June 2015. The 142 revised full papers presented in the volumes, were carefully reviewed and selected from 322 submissions. These proceedings present both traditional artificial intelligence methods and soft computing techniques. The goal is to bring together scientists representing both areas of research. The first volume covers topics as follows neural networks and their applications, fuzzy systems and their applications, evolutionary algorithms and their applications, classification and estimation, computer vision, image and speech analysis and the workshop: large-scale visual recognition and machine learning. The second volume has the focus on the following subjects: data mining, bioinformatics, biometrics and medical applications, concurrent and parallel processing, agent systems, robotics and control, artificial intelligence in modeling and simulation and various problems of artificial intelligence.

Soft Computing Applications

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Author : Valentina Emilia Balas
language : en
Publisher: Springer Nature
Release Date : 2023-10-26

Soft Computing Applications written by Valentina Emilia Balas and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-26 with Technology & Engineering categories.

Soft computing techniques open significant opportunities in several areas, such as industry, medicine, energy, security, transportation, and education. This book provides theory and applications development using soft computing techniques by organizing intelligent systems for many applications to the benefit of humanity. The book comes from a multidisciplinary subject whose audience can come from different academic departments, e.g., department of computer science and engineering, department of medical imaging, department of biomedical informatics, department of education sciences, and so on where artificial intelligence and soft computing are of routine courses. The book covers a range of audience from academicians, practitioners, researchers, and students to stakeholders. It can support graduate students and interns to develop a deep understanding of the latest paradigms in the soft computing techniques.

Soft Computing And Its Engineering Applications

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Author : Kanubhai K. Patel
language : en
Publisher: Springer Nature
Release Date : 2025-05-15

Soft Computing And Its Engineering Applications written by Kanubhai K. Patel and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-15 with Computers categories.

The two-volume proceedings set CCIS 2430-2431 constitutes the revised selected papers of the 6th International Conference on Soft Computing and its Engineering Applications, icSoftComp 2024, held in Bangkok, Thailand, during December 10–12, 2024. The 58 full papers and 3 short papers included in this book were carefully reviewed and selected from 501 submissions. They were organized in topical sections as follows: Part I : Theory and Methods. Part II : Theory and Methods; Systems and Applications; Hybrid Techniques; Soft Computing for Smart World.

Soft Computing Theories And Applications

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Author : Millie Pant
language : en
Publisher: Springer Nature
Release Date : 2020-06-29

Soft Computing Theories And Applications written by Millie Pant and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-29 with Technology & Engineering categories.

This book focuses on soft computing and how it can be applied to solve real-world problems arising in various domains, ranging from medicine and healthcare, to supply chain management, image processing and cryptanalysis. It gathers high-quality papers presented at the International Conference on Soft Computing: Theories and Applications (SoCTA 2019), organized by the National Institute of Technology Patna, India. Offering valuable insights into soft computing for teachers and researchers alike, the book will inspire further research in this dynamic field.

Soft Computing For Problem Solving

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Author : Kusum Deep
language : en
Publisher: Springer Nature
Release Date : 2025-09-26

Soft Computing For Problem Solving written by Kusum Deep and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-26 with Business & Economics categories.

This proceedings volume presents 41 high-quality research contributions at the forefront of soft computing theory and applications and real-world impact. The third volume from this conference, its chapters reflect the current trajectory of soft computing research, covering advances in machine learning, neural networks, fuzzy systems, nature-inspired algorithms, and big data analytics. Applications discussed range across critical domains such as healthcare, education, legal systems, cybersecurity, environmental monitoring, and industrial automation. Noteworthy contributions include studies on smart assistive devices for Alzheimer’s patients, intelligent classification of recycled materials, and AI-based criminal face detection systems. On the theoretical side, the volume includes novel algorithmic developments such as the Shuffled Flamingo Search Algorithm and structural insights into swarm-based optimisation. The volume illustrates how soft computing continues to address complex real-world problems through adaptive, scalable, and human-centric approaches. It also captures the spirit of interdisciplinary engagement, with contributions from early-career researchers alongside seasoned academics, enriching the community’s collaborative potential. This book will be of interest to researchers, engineers, practitioners, and postgraduate students working in artificial intelligence, optimisation, and computational intelligence, particularly those interested in the translational impact of soft computing across diverse sectors.

Soft Computing Based Medical Image Analysis

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Author : Nilanjan Dey
language : en
Publisher: Academic Press
Release Date : 2018-01-18

Soft Computing Based Medical Image Analysis written by Nilanjan Dey and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-18 with Technology & Engineering categories.

Soft Computing Based Medical Image Analysis presents the foremost techniques of soft computing in medical image analysis and processing. It includes image enhancement, segmentation, classification-based soft computing, and their application in diagnostic imaging, as well as an extensive background for the development of intelligent systems based on soft computing used in medical image analysis and processing. The book introduces the theory and concepts of digital image analysis and processing based on soft computing with real-world medical imaging applications. Comparative studies for soft computing based medical imaging techniques and traditional approaches in medicine are addressed, providing flexible and sophisticated application-oriented solutions. - Covers numerous soft computing approaches, including fuzzy logic, neural networks, evolutionary computing, rough sets and Swarm intelligence - Presents transverse research in soft computing formation from various engineering and industrial sectors in the medical domain - Highlights challenges and the future scope for soft computing based medical analysis and processing techniques

Introduction To Artificial Intelligence And Machine Learning

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Author : K. Meena
language : en
Publisher: Wiley-Scrivener
Release Date : 2020-12-15

Introduction To Artificial Intelligence And Machine Learning written by K. Meena and has been published by Wiley-Scrivener this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-15 with Computers categories.