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Design And Learning Hybrid Radial Basis Function Networks For Heterogeneous Data
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Book Synopsis Innovations in Hybrid Intelligent Systems by : Emilio Corchado
Download or read book Innovations in Hybrid Intelligent Systems written by Emilio Corchado and published by Springer Science & Business Media. This book was released on 2007-12-22 with total page 514 pages. Available in PDF, EPUB and Kindle. Book excerpt: This carefully edited book combines symbolic and sub-symbolic techniques to construct more robust and reliable problem solving models. This volume focused on "Hybrid Artificial Intelligence Systems" contains a collection of papers that were presented at the 2nd International Workshop on Hybrid Artificial Intelligence Systems, held in 12 - 13 November, 2007, Salamanca, Spain.
Book Synopsis Neural Networks and Statistical Learning by : Ke-Lin Du
Download or read book Neural Networks and Statistical Learning written by Ke-Lin Du and published by Springer Science & Business Media. This book was released on 2013-12-09 with total page 834 pages. Available in PDF, EPUB and Kindle. Book excerpt: Providing a broad but in-depth introduction to neural network and machine learning in a statistical framework, this book provides a single, comprehensive resource for study and further research. All the major popular neural network models and statistical learning approaches are covered with examples and exercises in every chapter to develop a practical working understanding of the content. Each of the twenty-five chapters includes state-of-the-art descriptions and important research results on the respective topics. The broad coverage includes the multilayer perceptron, the Hopfield network, associative memory models, clustering models and algorithms, the radial basis function network, recurrent neural networks, principal component analysis, nonnegative matrix factorization, independent component analysis, discriminant analysis, support vector machines, kernel methods, reinforcement learning, probabilistic and Bayesian networks, data fusion and ensemble learning, fuzzy sets and logic, neurofuzzy models, hardware implementations, and some machine learning topics. Applications to biometric/bioinformatics and data mining are also included. Focusing on the prominent accomplishments and their practical aspects, academic and technical staff, graduate students and researchers will find that this provides a solid foundation and encompassing reference for the fields of neural networks, pattern recognition, signal processing, machine learning, computational intelligence, and data mining.
Book Synopsis Recent Advances in Computing Sciences by : Sophiya Sheikh
Download or read book Recent Advances in Computing Sciences written by Sophiya Sheikh and published by CRC Press. This book was released on 2023-12-21 with total page 345 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 1st International Conference on Recent Advances in Computing Sciences (RACS-2022) organized by the School of Computer Application, Lovely Professional University, Jalandhar, Punjab from 4th to 5th November, 2022. The conference focuses on discussing issues, exchanging ideas, and the most recent innovations towards the advancement of research in the field of Computing Sciences and Technology. All technical sessions were predominantly related to Data Science, Artificial Intelligence, Remote Sensing, Image Processing, Computer Vision, Data Forensics, Cyber Security, Computational Sciences, Simulation & Modelling, Business Analytics, and Machine Learning. The main objective of this conference is to provide a common platform for academia and industry to discuss various technological challenges and share cognitive thoughts. It provided a thought-provoking platform to discuss and disseminate novel solutions for real-world problems in a dynamic and changing technological environment. The main success of RACS-2022 is to give an opportunity for the participants to enhance their knowledge of recent computing technologies.
Book Synopsis Knowledge-based Neurocomputing by : Ian Cloete
Download or read book Knowledge-based Neurocomputing written by Ian Cloete and published by MIT Press. This book was released on 2000 with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt: Looking at ways to encode prior knowledge and to extract, refine, and revise knowledge within a neurocomputing system.Neurocomputing methods are loosely based on a model of the brain as a network of simple interconnected processing elements corresponding to neurons. These methods derive their power from the collective processing of artificial neurons, the chief advantage being that such systems can learn and adapt to a changing environment. In knowledge-based neurocomputing, the emphasis is on the use and representation of knowledge about an application. Explicit modeling of the knowledge represented by such a system remains a major research topic. The reason is that humans find it difficult to interpret the numeric representation of a neural network.The key assumption of knowledge-based neurocomputing is that knowledge is obtainable from, or can be represented by, a neurocomputing system in a form that humans can understand. That is, the knowledge embedded in the neurocomputing system can also be represented in a symbolic or well-structured form, such as Boolean functions, automata, rules, or other familiar ways. The focus of knowledge-based computing is on methods to encode prior knowledge and to extract, refine, and revise knowledge within a neurocomputing system.ContributorsC. Aldrich, J. Cervenka, I. Cloete, R.A. Cozzio, R. Drossu, J. Fletcher, C.L. Giles, F.S. Gouws, M. Hilario, M. Ishikawa, A. Lozowski, Z. Obradovic, C.W. Omlin, M. Riedmiller, P. Romero, G.P.J. Schmitz, J. Sima, A. Sperduti, M. Spott, J. Weisbrod, J.M. Zurada
Book Synopsis Machine Learning Hybridization and Optimization for Intelligent Applications by : Tanvir Habib Sardar
Download or read book Machine Learning Hybridization and Optimization for Intelligent Applications written by Tanvir Habib Sardar and published by CRC Press. This book was released on 2024-10-28 with total page 367 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses state-of-the-art reviews of the existing machine learning techniques and algorithms including hybridizations and optimizations. It covers applications of machine learning via artificial intelligence (AI) prediction tools, discovery of drugs, neuroscience, diagnosis in multiple imaging modalities, pattern recognition approaches to functional magnetic resonance imaging, image and speech recognition, automatic language translation, medical diagnostic, stock market prediction, traffic prediction, and product automation. Features: • Focuses on hybridization and optimization of machine learning techniques. • Reviews supervised, unsupervised, and reinforcement learning using case study-based applications. • Covers the latest machine learning applications in as diverse domains as the Internet of Things, data science, cloud computing, and distributed and parallel computing. • Explains computing models using real-world examples and dataset-based experiments. • Includes case study-based explanations and usage for machine learning technologies and applications. This book is aimed at graduate students and researchers in machine learning, artificial intelligence, and electrical engineering.
Book Synopsis Handbook of Neural Computation by : Pijush Samui
Download or read book Handbook of Neural Computation written by Pijush Samui and published by Academic Press. This book was released on 2017-07-18 with total page 660 pages. Available in PDF, EPUB and Kindle. Book excerpt: Handbook of Neural Computation explores neural computation applications, ranging from conventional fields of mechanical and civil engineering, to electronics, electrical engineering and computer science. This book covers the numerous applications of artificial and deep neural networks and their uses in learning machines, including image and speech recognition, natural language processing and risk analysis. Edited by renowned authorities in this field, this work is comprised of articles from reputable industry and academic scholars and experts from around the world. Each contributor presents a specific research issue with its recent and future trends. As the demand rises in the engineering and medical industries for neural networks and other machine learning methods to solve different types of operations, such as data prediction, classification of images, analysis of big data, and intelligent decision-making, this book provides readers with the latest, cutting-edge research in one comprehensive text. - Features high-quality research articles on multivariate adaptive regression splines, the minimax probability machine, and more - Discusses machine learning techniques, including classification, clustering, regression, web mining, information retrieval and natural language processing - Covers supervised, unsupervised, reinforced, ensemble, and nature-inspired learning methods
Book Synopsis Data Science and Artificial Intelligence by : Chutiporn Anutariya
Download or read book Data Science and Artificial Intelligence written by Chutiporn Anutariya and published by Springer Nature. This book was released on 2023-11-17 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the First International Conference, DSAI 2023, held in Bangkok, Thailand, during November 27–30, 2023. The 22 full papers and the 4 short papers included in this volume were carefully reviewed and selected from 70 submissions. This volume focuses on ideas, methodologies, and cutting-edge research that can drive progress and foster interdisciplinary collaboration in the fields of data science and artificial intelligence.
Book Synopsis Advances in Machine Learning and Data Mining for Astronomy by : Michael J. Way
Download or read book Advances in Machine Learning and Data Mining for Astronomy written by Michael J. Way and published by CRC Press. This book was released on 2012-03-29 with total page 744 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in Machine Learning and Data Mining for Astronomy documents numerous successful collaborations among computer scientists, statisticians, and astronomers who illustrate the application of state-of-the-art machine learning and data mining techniques in astronomy. Due to the massive amount and complexity of data in most scientific disciplines
Book Synopsis Proceedings of the Fifth International Conference on Document Analysis and Recognition : September 20-22, 1999, Bangalore, India by :
Download or read book Proceedings of the Fifth International Conference on Document Analysis and Recognition : September 20-22, 1999, Bangalore, India written by and published by I E E E. This book was released on 1999 with total page 850 pages. Available in PDF, EPUB and Kindle. Book excerpt: Proceedings of the September 1999 conference on various aspects of document analysis and recognition. Following the keynote address on character and document research in the open mind initiative, 195 oral and poster contributions discuss topics including multimedia document processing; character recognition; document image processing; applications, checks, forms and music; DAS, electronic documents, and document segmentation; character recognition and classification; information retrieval; postal automation; document analysis systems; performance evaluation; and handwriting, font, graphics, word, Oriental character, and Indian languages recognition. Lacks a subject index. Annotation copyrighted by Book News, Inc., Portland, OR.
Book Synopsis Fuzzy Models and Algorithms for Pattern Recognition and Image Processing by : James C. Bezdek
Download or read book Fuzzy Models and Algorithms for Pattern Recognition and Image Processing written by James C. Bezdek and published by Springer Science & Business Media. This book was released on 2006-09-28 with total page 786 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fuzzy Models and Algorithms for Pattern Recognition and Image Processing presents a comprehensive introduction of the use of fuzzy models in pattern recognition and selected topics in image processing and computer vision. Unique to this volume in the Kluwer Handbooks of Fuzzy Sets Series is the fact that this book was written in its entirety by its four authors. A single notation, presentation style, and purpose are used throughout. The result is an extensive unified treatment of many fuzzy models for pattern recognition. The main topics are clustering and classifier design, with extensive material on feature analysis relational clustering, image processing and computer vision. Also included are numerous figures, images and numerical examples that illustrate the use of various models involving applications in medicine, character and word recognition, remote sensing, military image analysis, and industrial engineering.
Book Synopsis Hybrid Neural Systems by : Stefan Wermter
Download or read book Hybrid Neural Systems written by Stefan Wermter and published by Springer Science & Business Media. This book was released on 2000-03-29 with total page 411 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hybrid neural systems are computational systems which are based mainly on artificial neural networks and allow for symbolic interpretation or interaction with symbolic components. This book is derived from a workshop held during the NIPS'98 in Denver, Colorado, USA, and competently reflects the state of the art of research and development in hybrid neural systems. The 26 revised full papers presented together with an introductory overview by the volume editors have been through a twofold process of careful reviewing and revision. The papers are organized in the following topical sections: structured connectionism and rule representation; distributed neural architectures and language processing; transformation and explanation; robotics, vision, and cognitive approaches.
Book Synopsis Technological Advancements in Construction by : Angela Mottaeva
Download or read book Technological Advancements in Construction written by Angela Mottaeva and published by Springer Nature. This book was released on 2021-09-06 with total page 558 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book consists of original research papers in the field of Technological Advancements in Construction. It covers such topics as non-destructive testing, structural health monitoring, innovative composite materials, strengthening and rehabilitation of buildings and structures, seismic resilience of structures, thermal protection of buildings, construction and operation of buildings and structures in extreme climatic conditions, structural dynamics and vibration control, and green construction. The book contains latest information on structural mechanics of composite materials and structures, theoretical and computational modeling of new materials and structures, experimental and numerical analysis in building rehabilitation and strengthening, analytical, numerical and experimental methodologies for the analysis of multilayered structures, and advanced methods for seismic performance evaluation of building structures. The book includes original research and application papers of high academic level, where significant scientific novelty is clearly demonstrated. The book presents a valuable tool for researchers and construction professionals.
Book Synopsis Intelligent Soft Computation and Evolving Data Mining: Integrating Advanced Technologies by : Wang, Leon Shyue-Liang
Download or read book Intelligent Soft Computation and Evolving Data Mining: Integrating Advanced Technologies written by Wang, Leon Shyue-Liang and published by IGI Global. This book was released on 2010-03-31 with total page 516 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book provides a reference to researchers, practitioners, and students in both soft computing and data mining communities for generating creative ideas of securing and managing data mining"--Provided by publisher.
Book Synopsis Materials Discovery and Design by : Turab Lookman
Download or read book Materials Discovery and Design written by Turab Lookman and published by Springer. This book was released on 2018-09-22 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses the current status, challenges and future directions of data-driven materials discovery and design. It presents the analysis and learning from data as a key theme in many science and cyber related applications. The challenging open questions as well as future directions in the application of data science to materials problems are sketched. Computational and experimental facilities today generate vast amounts of data at an unprecedented rate. The book gives guidance to discover new knowledge that enables materials innovation to address grand challenges in energy, environment and security, the clearer link needed between the data from these facilities and the theory and underlying science. The role of inference and optimization methods in distilling the data and constraining predictions using insights and results from theory is key to achieving the desired goals of real time analysis and feedback. Thus, the importance of this book lies in emphasizing that the full value of knowledge driven discovery using data can only be realized by integrating statistical and information sciences with materials science, which is increasingly dependent on high throughput and large scale computational and experimental data gathering efforts. This is especially the case as we enter a new era of big data in materials science with the planning of future experimental facilities such as the Linac Coherent Light Source at Stanford (LCLS-II), the European X-ray Free Electron Laser (EXFEL) and MaRIE (Matter Radiation in Extremes), the signature concept facility from Los Alamos National Laboratory. These facilities are expected to generate hundreds of terabytes to several petabytes of in situ spatially and temporally resolved data per sample. The questions that then arise include how we can learn from the data to accelerate the processing and analysis of reconstructed microstructure, rapidly map spatially resolved properties from high throughput data, devise diagnostics for pattern detection, and guide experiments towards desired targeted properties. The authors are an interdisciplinary group of leading experts who bring the excitement of the nascent and rapidly emerging field of materials informatics to the reader.
Book Synopsis Computational Intelligence by : Diego Andina
Download or read book Computational Intelligence written by Diego Andina and published by Springer Science & Business Media. This book was released on 2007-05-06 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Intelligence is tolerant of imprecise information, partial truth and uncertainty. This book presents a selected collection of contributions on a focused treatment of important elements of CI, centred on its key element: learning. This book presents novel applications and real world applications working in Manufacturing and Engineering, and it sets a basis for understanding Domotic and Production Methods of the XXI Century.
Book Synopsis Data Analytics in System Engineering by : Radek Silhavy
Download or read book Data Analytics in System Engineering written by Radek Silhavy and published by Springer Nature. This book was released on with total page 473 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Mining Multimedia Documents by : Wahiba Ben Abdessalem Karaa
Download or read book Mining Multimedia Documents written by Wahiba Ben Abdessalem Karaa and published by CRC Press. This book was released on 2017-04-21 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: The information age has led to an explosion in the amount of information available to the individual and the means by which it is accessed, stored, viewed, and transferred. In particular, the growth of the internet has led to the creation of huge repositories of multimedia documents in a diverse range of scientific and professional fields, as well as the tools to extract useful knowledge from them. Mining Multimedia Documents is a must-read for researchers, practitioners, and students working at the intersection of data mining and multimedia applications. It investigates various techniques related to mining multimedia documents based on text, image, and video features. It provides an insight into the open research problems benefitting advanced undergraduates, graduate students, researchers, scientists and practitioners in the fields of medicine, biology, production, education, government, national security and economics.
