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Recent Advances Of Neural Network Models And Applications
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Book Synopsis Recent Advances of Neural Network Models and Applications by : Simone Bassis
Download or read book Recent Advances of Neural Network Models and Applications written by Simone Bassis and published by Springer Science & Business Media. This book was released on 2013-12-19 with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume collects a selection of contributions which has been presented at the 23rd Italian Workshop on Neural Networks, the yearly meeting of the Italian Society for Neural Networks (SIREN). The conference was held in Vietri sul Mare, Salerno, Italy during May 23-24, 2013. The annual meeting of SIREN is sponsored by International Neural Network Society (INNS), European Neural Network Society (ENNS) and IEEE Computational Intelligence Society (CIS). The book – as well as the workshop- is organized in two main components, a special session and a group of regular sessions featuring different aspects and point of views of artificial neural networks, artificial and natural intelligence, as well as psychological and cognitive theories for modeling human behaviors and human machine interactions, including Information Communication applications of compelling interest.
Book Synopsis Artificial Neural Networks by : Joao Luis Garcia Rosa
Download or read book Artificial Neural Networks written by Joao Luis Garcia Rosa and published by BoD – Books on Demand. This book was released on 2016-10-19 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: The idea of simulating the brain was the goal of many pioneering works in Artificial Intelligence. The brain has been seen as a neural network, or a set of nodes, or neurons, connected by communication lines. Currently, there has been increasing interest in the use of neural network models. This book contains chapters on basic concepts of artificial neural networks, recent connectionist architectures and several successful applications in various fields of knowledge, from assisted speech therapy to remote sensing of hydrological parameters, from fabric defect classification to application in civil engineering. This is a current book on Artificial Neural Networks and Applications, bringing recent advances in the area to the reader interested in this always-evolving machine learning technique.
Book Synopsis Recent Advances in Artificial Neural Networks by : L. C. Jain
Download or read book Recent Advances in Artificial Neural Networks written by L. C. Jain and published by CRC Press. This book was released on 2018-05-04 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neural networks represent a new generation of information processing paradigms designed to mimic-in a very limited sense-the human brain. They can learn, recall, and generalize from training data, and with their potential applications limited only by the imaginations of scientists and engineers, they are commanding tremendous popularity and research interest. Over the last four decades, researchers have reported a number of neural network paradigms, however, the newest of these have not appeared in book form-until now. Recent Advances in Artificial Neural Networks collects the latest neural network paradigms and reports on their promising new applications. World-renowned experts discuss the use of neural networks in pattern recognition, color induction, classification, cluster detection, and more. Application engineers, scientists, and research students from all disciplines with an interest in considering neural networks for solving real-world problems will find this collection useful.
Book Synopsis RECENT ADVANCES IN ARTIFICIAL NEURAL NETWORKS. by :
Download or read book RECENT ADVANCES IN ARTIFICIAL NEURAL NETWORKS. written by and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Artificial Neural Networks by : Patrick Chi Leung Hui
Download or read book Artificial Neural Networks written by Patrick Chi Leung Hui and published by Intechopen. This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book examines artificial neural networks (ANNs) and their applications in various fields. Chapters address ANNs and deep learning techniques for real-world applications in health care, materials processing, energy management, and more.
Book Synopsis Artificial Neural Networks €“ Models and Applications by :
Download or read book Artificial Neural Networks €“ Models and Applications written by and published by . This book was released on 19?? with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Artificial Neural Networks by : Kenji Suzuki
Download or read book Artificial Neural Networks written by Kenji Suzuki and published by BoD – Books on Demand. This book was released on 2011-04-11 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial neural networks may probably be the single most successful technology in the last two decades which has been widely used in a large variety of applications in various areas. The purpose of this book is to provide recent advances of artificial neural networks in biomedical applications. The book begins with fundamentals of artificial neural networks, which cover an introduction, design, and optimization. Advanced architectures for biomedical applications, which offer improved performance and desirable properties, follow. Parts continue with biological applications such as gene, plant biology, and stem cell, medical applications such as skin diseases, sclerosis, anesthesia, and physiotherapy, and clinical and other applications such as clinical outcome, telecare, and pre-med student failure prediction. Thus, this book will be a fundamental source of recent advances and applications of artificial neural networks in biomedical areas. The target audience includes professors and students in engineering and medical schools, researchers and engineers in biomedical industries, medical doctors, and healthcare professionals.
Book Synopsis Recent Advances in Knowledge-based Paradigms and Applications by : Jeffrey W. Tweedale
Download or read book Recent Advances in Knowledge-based Paradigms and Applications written by Jeffrey W. Tweedale and published by Springer Science & Business Media. This book was released on 2013-10-30 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents carefully selected contributions devoted to the modern perspective of AI research and innovation. This collection covers several areas of applications and motivates new research directions. The theme across all chapters combines several domains of AI research, Computational Intelligence and Machine Intelligence including an introduction to the recent research and models. Each of the subsequent chapters reveals leading edge research and innovative solution that employ AI techniques with an applied perspective. The problems include classification of spatial images, early smoke detection in outdoor space from video images, emergent segmentation from image analysis, intensity modification in images, multi-agent modeling and analysis of stress. They all are novel pieces of work and demonstrate how AI research contributes to solutions for difficult real world problems that benefit the research community, industry and society.
Book Synopsis Neural Networks in a Softcomputing Framework by : Ke-Lin Du
Download or read book Neural Networks in a Softcomputing Framework written by Ke-Lin Du and published by Springer Science & Business Media. This book was released on 2006-08-02 with total page 566 pages. Available in PDF, EPUB and Kindle. Book excerpt: This concise but comprehensive textbook reviews the most popular neural-network methods and their associated techniques. Each chapter provides state-of-the-art descriptions of important major research results of the respective neural-network methods. A range of relevant computational intelligence topics, such as fuzzy logic and evolutionary algorithms – powerful tools for neural-network learning – are introduced. The systematic survey of neural-network models and exhaustive references list will point readers toward topics for future research. The algorithms outlined also make this textbook a valuable reference for scientists and practitioners working in pattern recognition, signal processing, speech and image processing, data analysis and artificial intelligence.
Book Synopsis Advanced Deep Learning with R by : Bharatendra Rai
Download or read book Advanced Deep Learning with R written by Bharatendra Rai and published by Packt Publishing Ltd. This book was released on 2019-12-17 with total page 339 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover best practices for choosing, building, training, and improving deep learning models using Keras-R, and TensorFlow-R libraries Key FeaturesImplement deep learning algorithms to build AI models with the help of tips and tricksUnderstand how deep learning models operate using expert techniquesApply reinforcement learning, computer vision, GANs, and NLP using a range of datasetsBook Description Deep learning is a branch of machine learning based on a set of algorithms that attempt to model high-level abstractions in data. Advanced Deep Learning with R will help you understand popular deep learning architectures and their variants in R, along with providing real-life examples for them. This deep learning book starts by covering the essential deep learning techniques and concepts for prediction and classification. You will learn about neural networks, deep learning architectures, and the fundamentals for implementing deep learning with R. The book will also take you through using important deep learning libraries such as Keras-R and TensorFlow-R to implement deep learning algorithms within applications. You will get up to speed with artificial neural networks, recurrent neural networks, convolutional neural networks, long short-term memory networks, and more using advanced examples. Later, you'll discover how to apply generative adversarial networks (GANs) to generate new images; autoencoder neural networks for image dimension reduction, image de-noising and image correction and transfer learning to prepare, define, train, and model a deep neural network. By the end of this book, you will be ready to implement your knowledge and newly acquired skills for applying deep learning algorithms in R through real-world examples. What you will learnLearn how to create binary and multi-class deep neural network modelsImplement GANs for generating new imagesCreate autoencoder neural networks for image dimension reduction, image de-noising and image correctionImplement deep neural networks for performing efficient text classificationLearn to define a recurrent convolutional network model for classification in KerasExplore best practices and tips for performance optimization of various deep learning modelsWho this book is for This book is for data scientists, machine learning practitioners, deep learning researchers and AI enthusiasts who want to develop their skills and knowledge to implement deep learning techniques and algorithms using the power of R. A solid understanding of machine learning and working knowledge of the R programming language are required.
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 Nature. This book was released on 2019-09-12 with total page 988 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a broad yet detailed introduction to neural networks and machine learning in a statistical framework. A single, comprehensive resource for study and further research, it explores the major popular neural network models and statistical learning approaches with examples and exercises and allows readers to gain a practical working understanding of the content. This updated new edition presents recently published results and includes six new chapters that correspond to the recent advances in computational learning theory, sparse coding, deep learning, big data and cloud computing. Each chapter features state-of-the-art descriptions and significant research findings. The topics covered include: • multilayer perceptron; • the Hopfield network; • associative memory models;• clustering models and algorithms; • t he radial basis function network; • recurrent neural networks; • nonnegative matrix factorization; • independent component analysis; •probabilistic and Bayesian networks; and • fuzzy sets and logic. Focusing on the prominent accomplishments and their practical aspects, this book provides academic and technical staff, as well as graduate students and researchers with a solid foundation and comprehensive reference on the fields of neural networks, pattern recognition, signal processing, and machine learning.
Book Synopsis Recent Advances in Geo-Environmental Engineering, Geomechanics and Geotechnics, and Geohazards by : Amjad Kallel
Download or read book Recent Advances in Geo-Environmental Engineering, Geomechanics and Geotechnics, and Geohazards written by Amjad Kallel and published by Springer. This book was released on 2018-12-31 with total page 459 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited volume contains the best papers in the geo-engineering field accepted for presentation at the 1st Springer Conference of the Arabian Journal of Geosciences, Tunisia 2018. In addition, it includes 3 keynotes by international experts on the following topics: 1. A new three-dimensional rock mass strength criterion 2. New tools and techniques of remote sensing for geologic hazard assessment 3. Land subsidence induced by the engineering-environmental effects in Shanghai China The book is useful for readers who would like to get a broad coverage in geo-engineering. It contains 11 chapters covering the following main areas: (a) Applications in geo-environmental engineering including soil remediation, (b) Characterization of geo-materials using geological, geotechnical and geophysical techniques, (c) Soil improvement applications, (d) Soil behaviour under dynamic loading, (e) Recent studies on expansive soils, (f) Analytical and numerical modelling of various geo-structures, (g) Slope stability, (h) Landslides, (i) Subsidence studies and (j) Recent studies on various other types of geo-hazards.
Book Synopsis Recent Advances in Control and Filtering of Dynamic Systems with Constrained Signals by : Ju H. Park
Download or read book Recent Advances in Control and Filtering of Dynamic Systems with Constrained Signals written by Ju H. Park and published by Springer. This book was released on 2018-08-09 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the principle theories and applications of control and filtering problems to address emerging hot topics in feedback systems. With the development of IT technology at the core of the 4th industrial revolution, dynamic systems are becoming more sophisticated, networked, and advanced to achieve even better performance. However, this evolutionary advance in dynamic systems also leads to unavoidable constraints. In particular, such elements in control systems involve uncertainties, communication/transmission delays, external noise, sensor faults and failures, data packet dropouts, sampling and quantization errors, and switching phenomena, which have serious effects on the system’s stability and performance. This book discusses how to deal with such constraints to guarantee the system’s design objectives, focusing on real-world dynamical systems such as Markovian jump systems, networked control systems, neural networks, and complex networks, which have recently excited considerable attention. It also provides a number of practical examples to show the applicability of the presented methods and techniques. This book is of interest to graduate students, researchers and professors, as well as R&D engineers involved in control theory and applications looking to analyze dynamical systems with constraints and to synthesize various types of corresponding controllers and filters for optimal performance of feedback systems.
Book Synopsis Goddard Conference on Space Applications of Artificial Intelligence by :
Download or read book Goddard Conference on Space Applications of Artificial Intelligence written by and published by . This book was released on 1989 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Application of Neural Networks and Other Learning Technologies in Process Engineering by : I. M. Mujtaba
Download or read book Application of Neural Networks and Other Learning Technologies in Process Engineering written by I. M. Mujtaba and published by World Scientific. This book was released on 2001 with total page 423 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a follow-up to the IChemE symposium on ?Neural Networks and Other Learning Technologies?, held at Imperial College, UK, in May 1999. The interest shown by the participants, especially those from the industry, has been instrumental in producing the book. The papers have been written by contributors of the symposium and experts in this field from around the world. They present all the important aspects of neural network utilisation as well as show the versatility of neural networks in various aspects of process engineering problems ? modelling, estimation, control, optimisation and industrial applications.
Book Synopsis Recent Advances in Design and Decision Support Systems in Architecture and Urban Planning by : Jos P. van Leeuwen
Download or read book Recent Advances in Design and Decision Support Systems in Architecture and Urban Planning written by Jos P. van Leeuwen and published by Springer Science & Business Media. This book was released on 2005-12-30 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: Preface. International Scientific Committee. Introduction. Applications of Artificial Intelligence. Applications of Neural Networks for Landslide Susceptibility Mapping in Turkey; E. Yesilnacar, G.J. Hunter. An Evaluation of Neural Spatial Interaction Models Based on a Practical Application; A. Akamine, A.N. Rodrigues da Silva. Improved Understanding of Urban Sprawl Using Neural Networks; L. Diappi, P. Bolchi, M. Buscema. Visualisation for Design and Decision Support. Using On-Line Geographical Visualisation Tools to Improve Land Use Decision-Making with a Bottom-Up Community Participatory App.
Book Synopsis Recent Advances in Aerospace Engineering by : Sanjay Singh
Download or read book Recent Advances in Aerospace Engineering written by Sanjay Singh and published by Springer Nature. This book was released on with total page 605 pages. Available in PDF, EPUB and Kindle. Book excerpt:
