Описание: Provides a comprehensive treatment of all the techniques in nonlinear dynamics together with C++, Java and SymbolicC++ implementations. This book not only covers the theoretical aspects of the topics but also provides the practical tools. To understand the material, it includes more than 100 worked out examples and 150 ready to run programs.
Описание: This book is the first major text to encompass the wide diversity of geophysical applications of artificial neural networks (ANNs) and fuzzy logic (FZ). Each chapter, written by internationally-renowned experts in their field, represents a specific geophysical application, ranging from first-break picking and trace editing encountered in seismic exploration, through well-log lithology determination, to electromagnetic exploration and earthquake seismology. The book offers a well-balanced division of contributions from industry and academia, and includes a comprehensive, up-to-date bibliography covering all major publications in geophysical applications of ANNs and FZ. A special feature of this volume is the preface written by Professor Fred Aminzadeh, eminent authority in the field of artificial intelligence and geophysics. The enclosed CD-ROM contains full colour figures and searchable files, as well as short biographies of the editors.
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.
Описание: Logic is a branch of philosophy, mathematics and computer science. It studies the required methods to determine whether a statement is true, such as reasoning and computation.Proofs and Algorithms: Introduction to Logic and Computability is an introduction to the fundamental concepts of contemporary logic - those of a proof, a computable function, a model and a set. It presents a series of results, both positive and negative, - Church's undecidability theorem, G?del’s incompleteness theorem, the theorem asserting the semi-decidability of provability - that have profoundly changed our vision of reasoning, computation, and finally truth itself.Designed for undergraduate students, this book presents all that philosophers, mathematicians and computer scientists should know about logic.
Описание: This book not only provides a comprehensive introduction to neural-based PCA methods in control science, but also presents many novel PCA algorithms and their extensions and generalizations, e.g., dual purpose, coupled PCA, GED, neural based SVD algorithms, etc.
Автор: David W. Pearson; Nigel C. Steele; Rudolf F. Albre Название: Artificial Neural Nets and Genetic Algorithms ISBN: 3211826920 ISBN-13(EAN): 9783211826928 Издательство: Springer Рейтинг: Цена: 12157.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Artificial neural networks and genetic algorithms are both areas of research which have their origins in mathematical models constructed in order to gain understanding of important natural processes. This book examines new computation techniques which are applied in diverse fields.
Описание: The techniquesused and combined in the proposed method are modular neural networks (MNNs)with a Granular Computing (GrC) approach, thus resulting in a new concept ofMNNs;
Автор: Rafik Aziz Aliev; Babek Ghalib Guirimov Название: Type-2 Fuzzy Neural Networks and Their Applications ISBN: 3319381598 ISBN-13(EAN): 9783319381596 Издательство: Springer Рейтинг: Цена: 11878.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book deals with the theory, design principles, and application of hybrid intelligent systems using type-2 fuzzy sets in combination with other paradigms of Soft Computing technology such as Neuro-Computing and Evolutionary Computing.
Автор: Takeshi Furuhashi; Yoshiki Uchikawa Название: Fuzzy Logic, Neural Networks, and Evolutionary Computation ISBN: 3540619887 ISBN-13(EAN): 9783540619888 Издательство: Springer Рейтинг: Цена: 8384.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume contains a selection of 12 revised papers chosen from the 4th IEEE/Nagoya University World Wisepersons Workshop held in Nagoya, Japan, November 14-15, 1995. The papers presented are organized into sections including fuzzy and evolutionary computation, and fuzzy and learning automata.
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: 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: Rafik Aziz Aliev; Babek Ghalib Guirimov Название: Type-2 Fuzzy Neural Networks and Their Applications ISBN: 3319090712 ISBN-13(EAN): 9783319090719 Издательство: Springer Рейтинг: Цена: 11878.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book deals with the theory, design principles, and application of hybrid intelligent systems using type-2 fuzzy sets in combination with other paradigms of Soft Computing technology such as Neuro-Computing and Evolutionary Computing.
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