الصفحة 4
الصفحة 4
Neural Networks and Sea Time Series : Reconstruction and Extreme-Event Analysis
This book, a careful blend of theory and applications, is an excellent introduction to the use of ANN, which may encourage readers to try analogous approaches in other important application areas. Researchers, practitioners, and advanced graduate students in neural networks, hydraulic and marine engineering, prediction theory, and data analysis will benefit from the results and novel ideas presented in this useful resource.
Neural networks and deep learning
Covers both classical and modern models in deep learning. The primary focus is on the theory and algorithms of deep learning. The theory and algorithms of neural networks are particularly important for understanding important concepts, so that one can understand the important design concepts of neural architectures in different applications. Why do neural networks work? When do they work better than off-the-shelf machine-learning models? When is depth useful? Why is training neural networks so hard? What are the pitfalls? The book is also rich in discussing different applications in order to give the practitioner a flavor of how neural architectures are designed for different types of problems.
Neural Networks : Computational Models and Applications
Neural Networks: Computational Models and Applications covers a wealth of important theoretical and practical issues in neural networks, including the learning algorithms of feed-forward neural networks, various dynamical properties of recurrent neural networks, winner-take-all networks and their applications in broad manifolds of computational intelligence: pattern recognition, uniform approximation, constrained optimization, NP-hard problems, and image segmentation. By presenting various computational models, this book is developed to provide readers with a quick but insightful understanding of the broad and rapidly growing areas in the neural networks domain. Besides laying down fundamentals on artificial neural networks, this book also studies biologically inspired neural networks. Some typical computational models are discussed, and subsequently applied to objection recognition, scene analysis and associative memory. The studies of bio-inspired models have important implications in computer vision and robotic navigation, as well as new efficient algorithms for image analysis.
Neural Network Theory
Neural Networks Theory is a major contribution to the neural networks literature. It is a treasure trove that should be mined by the thousands of researchers and practitioners worldwide who have not previously had access to the fruits of Soviet and Russian neural network research. Dr. Galushkin is to be congratulated and thanked for his completion of this monumental work; a book that only he could write. It is a major gift to the world.
Neural Nets ; 16th Italian Workshop on Neural Nets, WIRN 2005, International workshop on natural and artificial immune systems, NAIS 2005, Vietri sul Mare, Italy, June 8-11, 2005, Revised Selected Papers
This book constitutes the thoroughly refereed postproceedings of the 16th Italian Workshop on Neural Nets, WIRN 2005, as well as the satellite International Workshop on Natural and Artificial Immune Systems, NAIS 2005, held in Vietri sul Mare, Italy in June 2005. The 41 revised papers presented together with a lecture by the winner of the Premio Caianiello award were carefully reviewed and improved during two rounds of selection and refereeing.
Neural Information Processing ; Vol. 4234 ; 13th International Conference, ICONIP 2006, Hong Kong, China, October 3-6, 2006, Proceedings, Part III
This book and its companion volumes constitute the Proceedings of the 13th - ternationalConferenceonNeuralInformationProcessing(ICONIP2006)heldin Hong Kong during October 3–6,2006. ICONIP is the annual ?agship conference oftheAsiaPaci?cNeuralNetworkAssembly(APNNA)withthepasteventsheld in Seoul (1994), Beijing (1995), Hong Kong (1996), Dunedin (1997), Kitakyushu (1998), Perth(1999), Taejon(2000), Shanghai(2001), Singapore(2002), Istanbul (2003), Calcutta(2004), andTaipei(2005). Overtheyears, ICONIPhasmatured into a well-established series of international conference on neural information processing and related ?elds in the Asia and Paci?cregions. Following the tra- tion, ICONIP 2006 provided an academic forum for the participants to diss- inate their new research ?ndings and discuss emerging areas of research.
Neural Information Processing ; Vol. 4232 ; 13th International Conference, ICONIP 2006, Hong Kong, China, October 3-6, 2006, Proceedings, Part I
This book and its companion volumes constitute the Proceedings of the 13th - ternationalConferenceonNeuralInformationProcessing(ICONIP2006)heldin Hong Kong during October 3–6,2006. ICONIP is the annual ?agship conference oftheAsiaPaci?cNeuralNetworkAssembly(APNNA)withthepasteventsheld in Seoul (1994), Beijing (1995), Hong Kong (1996), Dunedin (1997), Kitakyushu (1998), Perth(1999), Taejon(2000), Shanghai(2001), Singapore(2002), Istanbul (2003), Calcutta(2004), andTaipei(2005). Overtheyears, ICONIPhasmatured into a well-established series of international conference on neural information processing and related ?elds in the Asia and Paci?cregions. Following the tra- tion, ICONIP 2006 provided an academic forum for the participants to diss- inate their new research ?ndings and discuss emerging areas of research.
Neural Information Processing ; 14th International Conference, ICONIP 2007, Kitakyushu, Japan, November 13-16, 2007, Revised Selected Papers, Part II
The 228 revised full papers presented were carefully reviewed and selected from numerous ordinary paper submissions and 15 special organized sessions. The 116 papers of the first volume are organized in topical sections on computational neuroscience, learning and memory, neural network models ,supervised /unsupervised/reinforcement learning, statistical learning algorithms, optimization algorithms, novel algorithms, as well as motor control and vision. The second volume contains 112 contributions related to statistical and pattern recognition algorithms, neuromorphic hardware and implementations, robotics, data mining and knowledge discovery, real world applications, cognitive and hybrid intelligent systems, bioinformatics, neuroinformatics, brain-conputer interfaces, and novel approaches.
Neural Information Processing ; 14th International Conference, ICONIP 2007, Kitakyushu, Japan, November 13-16, 2007, Revised Selected Papers, Part I
The 228 revised full papers presented were carefully reviewed and selected from numerous ordinary paper submissions and 15 special organized sessions. The 116 papers of the first volume are organized in topical sections on computational neuroscience, learning and memory, neural network models, supervised/unsupervised/reinforcement learning, statistical learning algorithms, optimization algorithms, novel algorithms, as well as motor control and vision. The second volume contains 112 contributions related to statistical and pattern recognition algorithms, neuromorphic hardware and implementations, robotics, data mining and knowledge discovery, real world applications, cognitive and hybrid intelligent systems, bioinformatics, neuroinformatics, brain-conputer interfaces, and novel approaches.
Networks and Grids : Technology and Theory
This textbook is intended for an undergraduate/graduate course on computer networks and for introductory courses dealing with performance evaluation of computers, networks, grids and telecommunication systems.
Networks : From Biology to Theory
The concept of a network emerges as a powerful and stimulating research paradigm in mathematics, physics and computer science, and demonstrates a very lively interaction between experimental findings, simulation studies, and theoretical investigations that then in turn lead to new experimental questions. This volume explores this concept in full and features contributions from a truly global set of contributors.
NETWORKING 2007. Ad Hoc and sensor networks, wireless networks, next generation internet ; 6th International IFIP-TC6 Networking Conference, Atlanta, GA, USA, May 14-18, 2007, Proceedings
This book constitutes the refereed proceedings of the 7th International IFIP-TC6 Networking Conference, NETWORKING 2008, held in Singapore, in May 2008.
Network-Based Information Systems ; 2nd International Conference, NBiS 2008, Turin, Italy, September 1-5, 2008. Proceedings
Constitutes the refereed proceedings of the Second International Conference on Network-Based Information Systems, NBIS 2008, held in Turin, Italy, September 1-5, 2008 in conjunction with Dexa 2008.The 32 revised full papers presented were carefully reviewed and selected from 81 submissions. The papers are organized in topical sections on wireless networks; heterogeneous networks; ad hoc networks; P2P, grid and internet computing; ad hoc and sensor networks; intelligent algorithms and systems; secure systems and applicatinos as well as network tools and architectures.
Network-Based Information Systems ; 1st International Conference, NBIS 2007, Regensburg, Germany, September 3-7, 2007, Proceedings
This book constitutes the refereed proceedings of the First International Conference on Network-Based Information Systems, NBIS 2007, held in Regensburg, Germany, September 2007 in conjunction with Dexa 2007.
Network Models and Optimization : Multiobjective Genetic Algorithm Approach
Network Models and Optimization: Multiobjective Genetic Algorithm Approach extensively covers algorithms and applications, including shortest path problems, minimum cost flow problems, maximum flow problems, minimum spanning tree problems, travelling salesman and postman problems, location-allocation problems, project scheduling problems, multistage-based scheduling problems, logistics network problems, communication network problem, and network models in assembly line balancing problems, and airline fleet assignment problems.
Network Control and Optimization ; 1st EuroFGI International Conference, NET-COOP 2007, Avignon, France, June 5-7, 2007, Proceedings
This volume 4465 of the Lecture Notes in Computer Science series is a coll- tion of the papers of the NET-COOP 2007. This conference aims at developing research on control and op- mization of the Internet, ranging from performance evaluation and optimization of general stochastic networks to more speci?c targets such as lower-layer fu- tionalities in mobile networks, routing for computational grids, game theoretic approaches to access control, cooperation, competition and adversary capacities in diverse environments.
Network control and engineering for QoS, security and mobility, V ; IFIP 19th World Computer Congress,TC-6, 5th IFIP International conference on network control and engineering for QoS, security, and mobility, August 20-25, 2006, Santiago, Chile
International Federation for Information Processing The IFIP series publishes state-of-the-art results in the sciences and technologies of information and communication. The scope of the series includes: foundations of computer science; software theory and practice; education; computer applications in technology; communication systems; systems modeling and optimization; information systems; computers and society; computer systems technology; security and protection in information processing systems; artificial intelligence; and human-computer interaction. Proceedings and post-proceedings of referred international conferences in computer science and interdisciplinary fields are featured. These results often precede journal publication and represent the most current research. The principal aim of the IFIP series is to encourage education and the dissemination and exchange of information about all aspects of computing.
Network Classification For Traffic Management : Anomaly detection, feature selection, clustering and classification
Investigates network traffic classification solutions by proposing transport-layer methods to achieve better run and operated enterprise-scale networks. With the massive increase of data and traffic on the Internet within the 5G, IoT and smart cities frameworks, current network classification and analysis techniques are falling short. Novel approaches using machine learning algorithms are needed to cope with and manage real-world network traffic, including supervised, semi-supervised, and unsupervised classification techniques. Accurate and effective classification of network traffic will lead to better quality of service and more secure and manageable networks. Investigates network traffic classification solutions by proposing transport-layer methods to achieve better run and operated enterprise-scale networks. The authors explore novel methods for enhancing network statistics at the transport layer, helping to identify optimal feature selection through a global optimization approach and providing automatic labelling for raw traffic through a SemTra framework to maintain provable privacy on information disclosure properties.
Network and Parallel Computing ; IFIP International Conference, NPC 2008, Shanghai, China, October 18-20, 2008. Proceedings
This book constitutes the refereed proceedings of the IFIP International Conference on Network and Parallel Computing, NPC 2008, held in Shanghai, China in October 2008.The 32 revised full papers presented were carefully selected from over 140 submissions. The papers are organized in topical sections on network technologies; network applications; network and parallel architectures; parallel and distributed software.
Network and Parallel Computing ; IFIP International Conference, NPC 2007, Dalian, China, September 18-21, 2007, Proceedings
The goal of NPC is to establish an international forum for researchers and practitioners to present their - cellent ideas and experiences in all system fields of network and parallel computing. The main focus of NPC 2007 was on the most critical areas of network and parallel computing: network applications, network technologies, network and parallel arc- tectures, and parallel and distributed software.
