Advances in Neural Networks - ISNN 2017, Fengyu Cong; Andrew Leung; Qinglai Wei

Автор: Fengyu Cong; Andrew Leung; Qinglai Wei
Название: Advances in Neural Networks - ISNN 2017
ISBN: 3319590804 ISBN-13(EAN): 9783319590806
Издательство: Springer
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Описание: This book constitutes the refereed proceedings of the 14th International Symposium on Neural Networks, ISNN 2017, held in Sapporo, Hakodate, and Muroran, Hokkaido, Japan, in June 2017. The 135 revised full papers presented in this two-volume set were carefully reviewed and selected from 259 submissions.

Автор: James Kwok; Bao-Liang Lu; Liqing Zhang; Bao-Liang
Название: Advances in Neural Networks -- ISNN 2010
ISBN: 3642132774 ISBN-13(EAN): 9783642132773
Издательство: Springer
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Цена: 18167.00 р.
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Описание: Constitutes the proceedings of the 7th International Symposium on Neural Networks, ISNN 2010, held in Shanghai, China, June 6-9, 2010. This title presents the papers that focus on topics such as Neurophysiological Foundation, Theory and Models, Learning and Inference, and Neurodynamics.

Автор: Bishop, Christopher M.
Название: Neural Networks for Pattern Recognition
ISBN: 0198538642 ISBN-13(EAN): 9780198538646
Издательство: Oxford Academ
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Цена: 14414.00 р.
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Описание: This book is the first to provide a comprehensive account of neural networks from a statistical perspective. Its emphasis is on pattern recognition, which currently represents the area of greatest applicability for neural networks. By focusing on pattern recognition, the book provides a much more extensive treatment of many topics than is available in earlier books.

Автор: Jos? A. G?mez; Serafin Moral; Antonio Salmer?n Cer
Название: Advances in Bayesian Networks
ISBN: 364205885X ISBN-13(EAN): 9783642058851
Издательство: Springer
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Цена: 23757.00 р.
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Автор: James Kwok; Liqing Zhang; Bao-Liang Lu
Название: Advances in Neural Networks -- ISNN 2010
ISBN: 3642133177 ISBN-13(EAN): 9783642133176
Издательство: Springer
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Цена: 16769.00 р.
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Описание: Constitutes the proceedings of the 7th International Symposium on Neural Networks, ISNN 2010, held in Shanghai, China, June 6-9, 2010. This title presents the papers that focus on topics such as SVM and Kernel Methods, Vision and Image, Data Mining and Text Analysis, BCI and Brain Imaging and its applications.

Автор: Cheng
Название: Advances in Neural Networks – ISNN 2016
ISBN: 3319406620 ISBN-13(EAN): 9783319406626
Издательство: Springer
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Цена: 12298.00 р.
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Описание: This book constitutes the refereed proceedings of the 13th International Symposium on Neural Networks, ISNN 2016, held in St. Petersburg, Russia in July 2016. The papers cover many topics of neural network-related research including signal and image processing; and cognition computation and spiking neural networks.

Автор: Xiaolin Hu; Yousheng Xia; Yunong Zhang; Dongbin Zh
Название: Advances in Neural Networks – ISNN 2015
ISBN: 3319253921 ISBN-13(EAN): 9783319253923
Издательство: Springer
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Цена: 10062.00 р.
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Описание: The volume LNCS 9377 constitutes the refereed proceedings of the 12th International Symposium on Neural Networks, ISNN 2015, held in Jeju, South Korea in October 2015.

Автор: Brian D. Ripley
Название: Pattern Recognition and Neural Networks
ISBN: 0521717701 ISBN-13(EAN): 9780521717700
Издательство: Cambridge Academ
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Описание: This 1996 book is a reliable account of the statistical framework for pattern recognition and machine learning. Valuable advice is included on both theory and applications, while case studies based on real data sets help readers develop their understanding. All data sets are available from www.stats.ox.ac.uk/~ripley/PRbook/

Автор: Cesare Alippi; Marios M. Polycarpou; Christos Pana
Название: Artificial Neural Networks – ICANN 2009
ISBN: 3642042732 ISBN-13(EAN): 9783642042737
Издательство: Springer
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Описание: The ICANN conference is an annual meeting sp- sored by the European Neural Network Society (ENNS), in cooperation with the - ternational Neural Network Society (INNS) and the Japanese Neural Network Society (JNNS).

Автор: da Silva
Название: Artificial Neural Networks
ISBN: 3319431617 ISBN-13(EAN): 9783319431611
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This book provides comprehensive coverage of neural networks, their evolution, their structure, the problems they can solve, and their applications. The first half of the book looks at theoretical investigations on artificial neural networks and addresses the key architectures that are capable of implementation in various application scenarios.

Автор: J.G. Taylor; C.L.T. Mannion
Название: Theory and Applications of Neural Networks
ISBN: 3540196501 ISBN-13(EAN): 9783540196501
Издательство: Springer
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Цена: 12157.00 р.
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Описание: This volume comprises the papers presented at a special meeting on neural networks in 1990. Among the topics covered are adaptive resonance theory, dynamical systems, realistic neural modelling, pattern recognition using neural networks and a review of hardware for neural network simulations.

Автор: Chengan Guo; Zeng-Guang Hou; Zhigang Zeng
Название: Advances in Neural Networks- ISNN 2013
ISBN: 3642390641 ISBN-13(EAN): 9783642390647
Издательство: Springer
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Описание: Computational Neuroscience and Cognitive Science.- Information Transfer Characteristic in Memristic Neuromorphic Network.- Generation and Analysis of 3D Virtual Neurons Using Genetic Regulatory Network Model.- A Finite-Time Convergent Recurrent Neural Network Based Algorithm for the L Smallest k-Subsets Sum Problem.- Spike Train Pattern and Firing Synchronization in a Model of the Olfactory Mitral Cell.- Efficiency Improvements for Fuzzy Associative Memory.- A Study of Neural Mechanism in Emotion Regulation by Simultaneous Recording of EEG and fMRI Based on ICA.- Emotion Cognitive Reappraisal Research Based on Simultaneous Recording of EEG and BOLD Responses.- Convergence of Chaos Injection-Based Batch Backpropagation Algorithm For Feedforward Neural Networks.- Discovering the Multi-neuronal Firing Patterns Based on a New Binless Spike Trains Measure.- A Study on Dynamic Characteristics of the Hippocampal Two-Dimension Reduced Neuron Model under Current Conductance Changes.- Neural Network Models, Learning Algorithms, Stability and Convergence Analysis.- Overcoming the Local-Minimum Problem in Training Multilayer Perceptrons with the NRAE-MSE Training Method.- Generalized Single-Hidden Layer Feedforward Networks.- An Approach for Designing Neural Cryptography.- Bifurcation of a Discrete-Time Cohen-Grossberg-Type BAM Neural Network with Delays.- Stability Criteria for Uncertain Linear Systems with Time-Varying Delay.- Generalized Function Projective Lag Synchronization between Two Different Neural Networks.- Application of Local Activity Theory of CNN to the Coupled Autocatalator Model.- Passivity Criterion of Stochastic T-S Fuzzy Systems with Time-Varying Delays.- Parallel Computation of a New Data Driven Algorithm for Training Neural Networks.- Stability Analysis of a Class of High Order Fuzzy Cohen-Grossberg Neural Networks with Mixed Delays and Reaction-Diffusion Terms.- A Study on the Randomness Reduction Effect of Extreme Learning Machine with Ridge Regression.- Stability of Nonnegative Periodic Solutions of High-Ordered Neural Networks.- Existence of Periodic Solution for Competitive Neural Networks with Time-Varying and Distributed Delays on Time Scales.- Global Exponential Stability in the Mean Square of Stochastic Cohen-Grossberg Neural Networks with Time-Varying and Continuous Distributed Delays.- A Delay-Partitioning Approach to Stability Analysis of Discrete-Time Recurrent Neural Networks with Randomly Occurred Nonlinearities.- The Universal Approximation Capabilities of Mellin Approximate Identity Neural Networks.- H∞ Filtering of Markovian Jumping Neural Networks with Time Delays.- Convergence Analysis for Feng's MCA Neural Network Learning Algorithm.- Anti-periodic Solutions for Cohen-Grossberg Neural Networks with Varying-Time Delays and Impulses.- Global Robust Exponential Stability in Lagrange Sense for Interval Delayed Neural Networks.- The Binary Output Units of Neural Network.- Kernel Methods, Large Margin Methods and SVM.- Support Vector Machine with Customized Kernel.- Semi-supervised Kernel Minimum Squared Error Based on Manifold Structure.- Noise Effects on Spatial Pattern Data Classification Using Wavelet Kernel PCA: A Monte Carlo Simulation Study.- SVM-SVDD: A New Method to Solve Data Description Problem with Negative Examples.- Applying Wavelet Packet Decomposition and One-Class Support Vector Machine on Vehicle Acceleration Traces for Road Anomaly Detection.- Aeroengine Turbine Exhaust Gas Temperature Prediction Using Process Support Vector Machines.- The Effect of Lateral Inhibitory Connections in Spatial Architecture Neural Network.- Empirical Mode Decomposition Based LSSVM for Ship Motion Prediction.- Optimization Algorithms / Variational Methods.- Optimal Calculation of Tensor Learning Approaches.- Repeatable Optimization Algorithm Based Discrete PSO for Virtual Network Embedding.- An Energy-Efficient Coverage Optimization Method for the Wireless Sensor Networks Based on