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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.

Differential equations --- Mathematics --- Physics --- Applied physical engineering --- Engineering sciences. Technology --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- neuronale netwerken --- differentiaalvergelijkingen --- ICT (informatie- en communicatietechnieken) --- toegepaste wiskunde --- computers --- economie --- informatica --- simulaties --- wiskunde --- ingenieurswetenschappen --- fysica

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Computer networks

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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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This book covers different aspects of real-world applications of optimization algorithms. It provides insights from the Sixth International Conference on Harmony Search, Soft Computing and Applications held at Istanbul University, Turkey, in July 2020. Harmony Search (HS) is one of the most popular metaheuristic algorithms, developed in 2001 by Prof. Joong Hoon Kim and Prof. Zong Woo Geem, that mimics the improvisation process of jazz musicians to seek the best harmony. The book 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 science --- Programming --- Artificial intelligence. Robotics. Simulation. Graphics --- neuronale netwerken --- fuzzy logic --- cybernetica --- programmeren (informatica) --- algoritmen --- KI (kunstmatige intelligentie) --- AI (artificiële intelligentie)