Автор: Chengan Guo; Zeng-Guang Hou; Zhigang Zeng Название: Advances in Neural Networks- ISNN 2013 ISBN: 3642390641 ISBN-13(EAN): 9783642390647 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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
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 Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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: Hongwei Wang; Yi Shen; Tingwen Huang; Zhigang Zeng Название: The Sixth International Symposium on Neural Networks (ISNN 2009) ISBN: 3642012159 ISBN-13(EAN): 9783642012150 Издательство: Springer Рейтинг: Цена: 48076.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume constitutes the proceedings of the Sixth International Symposium of Neural Networks, ISNN 2009, which allowed participants to exchange information on future research challenges and opportunities of neural networks and their applications.
Автор: Simone Bassis; Anna Esposito; Francesco Carlo Mora Название: Advances in Neural Networks: Computational and Theoretical Issues ISBN: 3319181637 ISBN-13(EAN): 9783319181639 Издательство: Springer Рейтинг: Цена: 22203.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Invited Keynote Papers.- Proceedings Papers.
Автор: Simone Bassis; Anna Esposito; Francesco Carlo Mora Название: Advances in Neural Networks: Computational and Theoretical Issues ISBN: 3319383345 ISBN-13(EAN): 9783319383347 Издательство: Springer Рейтинг: Цена: 18284.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Presenting papers from the IEEE/Nagoya-University World Wisepersons Workshop, this volume covers the combination of fuzzy logic and neural networks. It looks at how to combine fuzzy logic and genetic algorithms, and includes challenging applications of fuzzy systems and of fuzzy-genetic algorithms.
Автор: Brian D. Ripley Название: Pattern Recognition and Neural Networks ISBN: 0521717701 ISBN-13(EAN): 9780521717700 Издательство: Cambridge Academ Рейтинг: Цена: 7762.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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: Bishop, Christopher M. Название: Neural Networks for Pattern Recognition ISBN: 0198538642 ISBN-13(EAN): 9780198538646 Издательство: Oxford Academ Рейтинг: Цена: 13939.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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: Cheng Название: Advances in Neural Networks – ISNN 2016 ISBN: 3319406620 ISBN-13(EAN): 9783319406626 Издательство: Springer Рейтинг: Цена: 12298.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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: James Kwok; Liqing Zhang; Bao-Liang Lu Название: Advances in Neural Networks -- ISNN 2010 ISBN: 3642133177 ISBN-13(EAN): 9783642133176 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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: Fengyu Cong; Andrew Leung; Qinglai Wei Название: Advances in Neural Networks - ISNN 2017 ISBN: 3319590715 ISBN-13(EAN): 9783319590714 Издательство: Springer Рейтинг: Цена: 11179.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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: Fengyu Cong; Andrew Leung; Qinglai Wei Название: Advances in Neural Networks - ISNN 2017 ISBN: 3319590804 ISBN-13(EAN): 9783319590806 Издательство: Springer Рейтинг: Цена: 11179.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru