Advanced Models of Neural Networks, Gerasimos G. Rigatos

Автор: Joe Suzuki; Maomi Ueno
Название: Advanced Methodologies for Bayesian Networks
ISBN: 3319283782 ISBN-13(EAN): 9783319283784
Издательство: Springer
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Цена: 44720.00 T
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Описание: This volume constitutes the refereed proceedings of theSecond International Workshop on Advanced Methodologies for Bayesian Networks,AMBN 2015, held in Yokohama, Japan, in November 2015. The 18 revised full papers and 6 invited abstractspresented were carefully reviewed and selected from numerous submissions.

Автор: Shuai Li; Yinyan Zhang
Название: Neural Networks for Cooperative Control of Multiple Robot Arms
ISBN: 9811070369 ISBN-13(EAN): 9789811070365
Издательство: Springer
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Цена: 51230.00 T
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Описание: This is the first book to focus on solving cooperative control problems of multiple robot arms using different centralized or distributed neural network models, presenting methods and algorithms together with the corresponding theoretical analysis and simulated examples.

Автор: Vladimir M. Krasnopolsky
Название: The Application of Neural Networks in the Earth System Sciences
ISBN: 9401784655 ISBN-13(EAN): 9789401784658
Издательство: Springer
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Цена: 95770.00 T
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Описание: This book offers a unified approach to complex practical problems in Earth Sciences, showing how neural networks are well suited for applications in satellite remote sensing, meteorology, hydrology, oceanography, weather prediction and climate studies.

Автор: Jose G. Delgado-Frias; W.R. Moore
Название: VLSI for Neural Networks and Artificial Intelligence
ISBN: 0306447223 ISBN-13(EAN): 9780306447228
Издательство: Springer
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Цена: 153720.00 T
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Описание: Neural network and artificial intelligence algorithrns and computing have increased not only in complexity but also in the number of applications. the areas are: analog circuits for neural networks, digital implementations of neural networks, neural networks on multiprocessor systems and applications, and VLSI machines for artificial intelligence.

Автор: C.H. Dagli
Название: Artificial Neural Networks for Intelligent Manufacturing
ISBN: 0412480506 ISBN-13(EAN): 9780412480508
Издательство: Springer
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Цена: 204040.00 T
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Описание: Artificial neural network technology is becoming an integral part of intelligent manufacturing systems and will have a profound impact on the design of autonomous engineering systems over the next few years.

Автор: N. Sundararajan; P. Saratchandran; Yan Li
Название: Fully Tuned Radial Basis Function Neural Networks for Flight Control
ISBN: 1441949151 ISBN-13(EAN): 9781441949158
Издательство: Springer
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Цена: 156720.00 T
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Описание: Fully Tuned Radial Basis Function Neural Networks for Flight Control presents the use of the Radial Basis Function (RBF) neural networks for adaptive control of nonlinear systems with emphasis on flight control applications.

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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Цена: 46570.00 T
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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

Автор: Chengan Guo; Zeng-Guang Hou; Zhigang Zeng
Название: Advances in Neural Networks- ISNN 2013
ISBN: 3642390676 ISBN-13(EAN): 9783642390678
Издательство: Springer
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Цена: 46570.00 T
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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: Jouke Annema
Название: Feed-Forward Neural Networks
ISBN: 0792395670 ISBN-13(EAN): 9780792395676
Издательство: Springer
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Цена: 158380.00 T
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Описание: Presents a method for the mathematical analysis of neural networks that learn according to the back-propagation algorithm. This book discusses some other alternative algorithms for hardware implemented perception-like neural networks.

Автор: da Silva
Название: Artificial Neural Networks
ISBN: 3319431617 ISBN-13(EAN): 9783319431611
Издательство: Springer
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Цена: 93160.00 T
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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: Patricia Melin; Oscar Castillo; Janusz Kacprzyk
Название: Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization
ISBN: 331917746X ISBN-13(EAN): 9783319177465
Издательство: Springer
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Цена: 156720.00 T
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Описание: This book presents recent advances on the design of intelligent systems based on fuzzy logic, neural networks and nature-inspired optimization and their application in areas such as, intelligent control and robotics, pattern recognition, time series prediction and optimization of complex problems.

Автор: Jayne
Название: Engineering Applications of Neural Networks
ISBN: 3319441876 ISBN-13(EAN): 9783319441870
Издательство: Springer
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Цена: 63350.00 T
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Описание: This book constitutes the refereed proceedings of the 17th International Conference on Engineering Applications of Neural Networks, EANN 2016, held in Aberdeen, UK, in September 2016.The 22 revised full papers and three short papers presented together with two tutorials were carefully reviewed and selected from 41 submissions. The papers are organized in topical sections on active learning and dynamic environments; semi-supervised modeling; classification applications; clustering applications; cyber-physical systems and cloud applications; time-series prediction; learning-algorithms.