Описание: Comprises papers based on some of the talks presented at the IUTAM Symposium of the same name, held in Cape Town, January 14-18, 2008. This book discusses various issues in modeling, the behavior of various classes of inelastic media, and associated algorithms for carrying out computational simulations.
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: Provides an in-depth and even treatment of the three pillars of computational intelligence and how they relate to one another This book covers the three fundamental topics that form the basis of computational intelligence: neural networks, fuzzy systems, and evolutionary computation.
Автор: Gogate & Hollich Название: Theoretical And Computational Models Of Word Learning ISBN: 1466629738 ISBN-13(EAN): 9781466629738 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 25502.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The process of learning words and languages may seem like an instinctual trait, inherent to nearly all humans from a young age. However, a vast range of complex research and information exists in detailing the complexities of the process of word learning. <br><br><em>Theoretical and Computational Models of Word Learning: Trends in Psychology and Artificial Intelligence</em> strives to combine cross-disciplinary research into one comprehensive volume to help readers gain a fuller understanding of the developmental processes and influences that makeup the progression of word learning. Blending together developmental psychology and artificial intelligence, this publication is intended for researchers, practitioners, and educators who are interested in language learning and its development as well as computational models formed from these specific areas of research.
Автор: Bassis Название: Advances in Neural Networks ISBN: 3319337467 ISBN-13(EAN): 9783319337463 Издательство: Springer Рейтинг: Цена: 36570.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This carefullyedited book is putting emphasis on computational and artificial intelligentmethods for learning and their relative applications in robotics, embeddedsystems, and ICT interfaces for psychological and neurological diseases. Thebook is a follow-up of the scientific workshop on Neural Networks (WIRN 2015)held in Vietri sul Mare, Italy, from the 20th to the 22nd of May 2015. Theworkshop, at its 27th edition became a traditional scientific event thatbrought together scientists from many countries, and several scientificdisciplines. Each chapter is an extended version of the original contributionpresented at the workshop, and together with the reviewers’ peer revisions italso benefits from the live discussion during the presentation.The content of book is organized in the following sections. 1. Introduction,2. Machine Learning,3. Artificial Neural Networks: Algorithms and models,4. Intelligent Cyberphysical and Embedded System,5. Computational Intelligence Methods for Biomedical ICT in NeurologicalDiseases,6. Neural Networks-Based Approaches to Industrial Processes,7. Reconfigurable Modular Adaptive Smart Robotic Systems forOptoelectronicsIndustry: The White'R InstantiationThis book is unique in proposing a holistic and multidisciplinaryapproach to implement autonomous, and complex Human Computer Interfaces.
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: Xiaolin Hu; Yousheng Xia; Yunong Zhang; Dongbin Zh Название: Advances in Neural Networks – ISNN 2015 ISBN: 3319253921 ISBN-13(EAN): 9783319253923 Издательство: Springer Рейтинг: Цена: 10062.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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: 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: Chengan Guo; Zeng-Guang Hou; Zhigang Zeng Название: Advances in Neural Networks- ISNN 2013 ISBN: 3642390676 ISBN-13(EAN): 9783642390678 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Control, Robotics and Hardware.- Optimal Tracking Control Scheme for Discrete-Time Nonlinear Systems with Approximation Errors.- Distributed Output Feedback Tracking Control of Uncertain Nonlinear Multi-Agent Systems with Unknown Input of Leader.- Quadrotor Flight Control Parameters Optimization Based on Chaotic Estimation of Distribution Algorithm.- Stability Analysis on Pattern-Based NN Control Systems.- Observer-Based H∞ Fuzzy Control for T-S Fuzzy Neural Networks with Random Data Losses.- Robust Adaptive Neural Network Control for Wheeled Inverted Pendulum with Input Saturation.- An Improved Learning Scheme for Extracting T-S Fuzzy Rules from Data Samples.- On the Equivalence between Generalized Ellipsoidal Basis Function Neural Networks and T-S Fuzzy Systems.- Adaptive NN Control for a Class of Strict-Feedback Discrete-Time Nonlinear Systems with Input Saturation.- NN Based Adaptive Dynamic Surface Control for Fully Actuated AUV.- Bifurcation Control of a Fractional Order Hindmarsh-Rose Neuronal Model.- Adaptive Neural Control for a Class of Large-Scale Pure-Feedback Nonlinear Systems.- Adaptive Synchronization of Uncertain Chaotic Systems via Neural Network-Based Dynamic Surface Control Design.- Adaptive NN Dynamic Surface Control for Stochastic Nonlinear Strict-feedback Systems.- Cooperative Tracking of Multiple Agents with Uncertain Nonlinear Dynamics and Fixed Time Delays.- Adaptation Phase-Locked Loop Speed and Neuron PI Torque Control of Permanent Magnet Synchronous Motor.- Global Tracking Control of a Wheeled Mobile Robot Using RBF Neural Networks.- Adaptive NN Tracking Control of Double Inverted Pendulums with Input Saturation.- Identification and Control of PMSM Using Adaptive BP-PID Neural Network.- Adaptive NN Control for a Class of Chemical Reactor Systems.- Application-Oriented Adaptive Neural Networks Design for Ship's Linear-tracking Control.- Adaptive Synchronization for Stochastic Markovian Jump Neural Networks with Mode-Dependent Delays.- Neural Network H∞ Tracking Control of Nonlinear Systems Using GHJI Method.- Adaptive Neural Control for Uncertain Attitude Dynamics of Near-Space Vehicles with Oblique Wing.- EMG-Based Neural Network Control of an Upper-Limb Power-Assist Exoskeleton Robot.- Neural Network Based Direct Adaptive Backstepping Method for Fin Stabilizer System.- Output Feedback Adaptive Rubost NN Control for a Class of Nonlinear Discrete-Time Systems.- Robust Fin Control for Ship Roll Stabilization by Using Functional-Link Neural Networks.- DSC Approach to Robust Adaptive NN Tracking Control for a Class of SISO Systems.- Integrated Intelligent Control Method of Coke Oven Collector Pressure.- DSC Approach to Adaptive NN Control on a Ship Linear-Path Following.- Observer-Based Adaptive Neural Networks Control of Nonlinear Pure Feedback Systems with Hysteresis.- Active Disturbance Rejection Control on Path Following for Underactuated Ships.- Bioinformatics and Biomedical Engineering, Brain-Like Systems and Brain-Computer Interfaces.- Canonical Correlation Analysis Neural Network for Steady-State Visual Evoked Potentials Based Brain-Computer Interfaces.- A Frequency Boosting Method for Motor Imagery EEG Classification in BCI-FES Rehabilitation Training System.- A Novel Ensemble Algorithm for Tumor Classification.- Reducing the Computation Time for BCI Using Improved ICA Algorithms.- An SSVEP-Based BCI with Adaptive Time-Window Length.- A Novel Geodesic Distance Based Clustering Approach to Delineating Boundaries of Touching Cells.- Seizure Detection in Clinical EEG Based on Entropies and EMD.- Evolutionary Neural Networks, Hybrid Intelligent Systems.- A New Hybrid Intelligent System for Fast Neural Network Training.- EDA-Based Multi-objective Optimization Using Preference Order Ranking and Multivariate Gaussian Copula.- Resource Scheduling of Cloud with QoS Constraints.- Hybird Evolutionary Algorithms for Artificial Neural Network Training in Rainfalll Forecasting.-
Автор: Zhigang Zeng; Yangmin Li; Irwin King Название: Advances in Neural Networks – ISNN 2014 ISBN: 3319124358 ISBN-13(EAN): 9783319124353 Издательство: Springer Рейтинг: Цена: 11180.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The volume LNCS 8866 constitutes the refereed proceedings of the 11th International Symposium on Neural Networks, ISNN 2014, held in Hong Kong and Macao, China on November/ December 2014. These papers cover all major topics of the theoretical research, empirical study and applications of neural networks research as follows.
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