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This book features selected papers presented at International Conference on Data Analytics and Computing (ICDAC 2022), organized by Department of Mathematics, College of Science and Technology, Wenzhou-Kean University, Wenzhou, China held during 28–29 May 2022. This book includes state-of-the-art current trends in data science, data analytics optimization, soft computing and related areas. Its primary readers are post graduate students, researchers and academic professionals.
Computational intelligence. --- Artificial intelligence. --- Big data. --- Natural language processing (Computer science). --- Machine learning. --- Computational Intelligence. --- Artificial Intelligence. --- Big Data. --- Natural Language Processing (NLP). --- Machine Learning. --- Learning, Machine --- Artificial intelligence --- Machine theory --- NLP (Computer science) --- Electronic data processing --- Human-computer interaction --- Semantic computing --- Data sets, Large --- Large data sets --- Data sets --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Logic machines --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Intelligence, Computational --- Soft computing --- Computer science --- Data mining
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This book introduces a variety of neural network methods for solving differential equations arising in science and engineering. The emphasis is placed on a deep understanding of the neural network techniques, which has been presented in a mostly heuristic and intuitive manner. This approach will enable the reader to understand the working, efficiency and shortcomings of each neural network technique for solving differential equations. The objective of this book is to provide the reader with a sound understanding of the foundations of neural networks, and a comprehensive introduction to neural network methods for solving differential equations together with recent developments in the techniques and their applications. The book comprises four major sections. Section I consists of a brief overview of differential equations and the relevant physical problems arising in science and engineering. Section II illustrates the history of neural networks starting from their beginnings in the 1940s through to the renewed interest of the 1980s. A general introduction to neural networks and learning technologies is presented in Section III. This section also includes the description of the multilayer perceptron and its learning methods. In Section IV, the different neural network methods for solving differential equations are introduced, including discussion of the most recent developments in the field. Advanced students and researchers in mathematics, computer science and various disciplines in science and engineering will find this book a valuable reference source.
Mathematics. --- Mathematical Models of Cognitive Processes and Neural Networks. --- Ordinary Differential Equations. --- Numerical and Computational Physics. --- Appl.Mathematics/Computational Methods of Engineering. --- Computational Mathematics and Numerical Analysis. --- Differential Equations. --- Computer science --- Engineering mathematics. --- Mathématiques --- Informatique --- Mathématiques de l'ingénieur --- Differential equations -- Data processing. --- Neural networks (Computer science). --- Engineering & Applied Sciences --- Computer Science --- Neural networks (Computer science) --- Differential equations --- Data processing. --- 517.91 Differential equations --- Artificial neural networks --- Nets, Neural (Computer science) --- Networks, Neural (Computer science) --- Neural nets (Computer science) --- Differential equations. --- Computer mathematics. --- Physics. --- Applied mathematics. --- Artificial intelligence --- Natural computation --- Soft computing --- Numerical and Computational Physics, Simulation. --- Mathematical and Computational Engineering. --- Computer mathematics --- Discrete mathematics --- Electronic data processing --- Engineering --- Engineering analysis --- Mathematical analysis --- Mathematics --- Neural networks (Computer science) . --- Natural philosophy --- Philosophy, Natural --- Physical sciences --- Dynamics
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This book is a comprehensive collection of research papers from the International Conference on Paradigms of Computing and Data Analytics (PCCDA 2023). It focuses on advancements in algorithms for intelligent systems and their applications to real-world problems. Topics covered include machine learning, artificial neural networks, evolutionary computation, swarm intelligence, and optimization, among others. The book serves as a valuable resource for graduate students, researchers, and professionals interested in the latest developments in intelligent computing and data analytics. It aims to foster collaboration between academia and industry by presenting novel contributions and facilitating the exchange of ideas.
Machine learning. --- Algorithms. --- Machine learning --- Algorithms
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The book covers different aspects of real-world applications of optimization algorithms. It provides insights from the Fourth International Conference on Harmony Search, Soft Computing and Applications held at BML Munjal University, Gurgaon, India on February 7–9, 2018. It consists of research articles on novel and newly proposed optimization algorithms; the theoretical study of nature-inspired optimization algorithms; numerically established results of nature-inspired optimization algorithms; and real-world applications of optimization algorithms and synthetic benchmarking of optimization algorithms.
Computer algorithms --- Soft computing --- Engineering. --- Computer vision. --- Data mining. --- Computational Intelligence. --- Image Processing and Computer Vision. --- Data Mining and Knowledge Discovery. --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Machine vision --- Vision, Computer --- Artificial intelligence --- Image processing --- Pattern recognition systems --- Construction --- Industrial arts --- Technology
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This book discusses various aspects of real-world applications of optimization algorithms, presenting insights from the 5th International Conference on Harmony Search, Soft Computing and Applications, held at Kunming, China on July 20–22, 2019. The book focuses on the recent advances in soft computing techniques such as harmony search, PSO and DE and their application to solve engineering problems. Presenting research on various real-world engineering problems concerning crowd evacuation strategies, adaptive learning systems, economic impact analysis, cyber-attack detection, urban drainage systems, water management models, feature selection and inventory systems, it is a valuable resource for researchers wanting a state-of-the-art overview of the latest advances in soft computing and related areas.
Engineering. --- Machine learning. --- Computational Intelligence. --- Machine Learning. --- Construction --- Industrial arts --- Technology --- Learning, Machine --- Artificial intelligence --- Machine theory --- Computer algorithms --- Computational intelligence. --- Intelligence, Computational --- Soft computing
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