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Daneshyari Artificial Intelligence Journas Latest Articles

Artificial Intelligence Research Articles

Assessing aspects of reading by a connectionist model
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Model-free multiobjective approximate dynamic programming for discrete-time nonlinear systems with general performance index functions
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Exponential stability of periodic solution to Cohen–Grossberg-type BAM networks with time-varying delays
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Stability and existence of periodic solutions to delayed Cohen–Grossberg BAM neural networks with impulses on time scales
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Identification of nonlinear systems with time-varying parameters using a sliding-neural network observer
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Stability of small-world networks of neural populations
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Simultaneous input variable and basis function selection for RBF networks
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Incremental support vector machine learning in the primal and applications
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Two lattice computing approaches for the unsupervised segmentation of hyperspectral images
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Autonomous single-pass endmember approximation using lattice auto-associative memories
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Neural network approximation for periodically disturbed functions and applications to control design
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Estimation of epipolar geometry by linear mixed-effect modelling
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Control Liapunov function design of neural networks that solve convex optimization and variational inequality problems
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Stability of random brain networks with excitatory and inhibitory connections
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Neural projection techniques for the visual inspection of network traffic
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Information-theoretic feature selection for functional data classification
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A single front genetic algorithm for parallel multi-objective optimization in dynamic environments
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A cross model study of corporate financial distress prediction in Taiwan: Multiple discriminant analysis, logit, probit and neural networks models
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Robust stability of stochastic Cohen–Grossberg neural networks with mixed time-varying delays
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A linear ridgelet network
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Electrical modeling of the cell–electrode interface for recording neural activity from high-density microelectrode arrays
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Language-independent, neural network-based, text-to-phones conversion
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A novel approach to neuro-fuzzy classification
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Neural associative memories for the integration of language, vision and action in an autonomous agent
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Emergence of structured interactions: From a theoretical model to pragmatic robotics
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Probabilistic instantaneous model-based signal processing applied to localization and tracking
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Classification of cortical microcircuits based on micro-electrode-array data from slices of rat barrel cortex
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A phase code for memory could arise from circuit mechanisms in entorhinal cortex
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Robust synchronization in an array of fuzzy delayed cellular neural networks with stochastically hybrid coupling
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Design and implementation of an artificial neuromolecular chip and its applications to pattern classification problems
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Behavioral task processing for cognitive robots using artificial emotions
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Selective negative correlation learning approach to incremental learning
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MOVIH-IDS: A mobile-visualization hybrid intrusion detection system
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Automatic abstraction in reinforcement learning using data mining techniques
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Modeling of tracked mobile manipulators with consideration of track–terrain and vehicle–manipulator interactions
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Efficient data association for view based SLAM using connected dominating sets
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A comparison of loop closing techniques in monocular SLAM
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Painting robot with multi-fingered hands and stereo vision
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Coordinated machine learning and decision support for situation awareness
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Feature fusion for basic behavior unit segmentation from video sequences
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Differential evolution solution to the SLAM problem
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SPIRAL: A novel biologically-inspired algorithm for gas/odor source localization in an indoor environment with no strong airflow
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Kinematic design optimization of a parallel ankle rehabilitation robot using modified genetic algorithm
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Contributions to non-identifier based adaptive control in mechatronics
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Classification of mental task from EEG data using neural networks based on particle swarm optimization
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Two-dimensional subspace classifiers for face recognition
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Multi-frame structure from motion using optical flow probability distributions
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Discretized ISO-learning neural network for obstacle avoidance in reactive robot controllers
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Incremental learning of sequence patterns with a modular network model
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Pruning an ensemble of classifiers via reinforcement learning
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A dynamic Bayesian network for diagnosing ventilator-associated pneumonia in ICU patients
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Concept lattices for visualizing and generating user profiles for context-aware service recommendations
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Programming Robosoccer agents by modeling human behavior
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Fault diagnosis of induction motor based on decision trees and adaptive neuro-fuzzy inference
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An empirical analysis of online game service satisfaction and loyalty
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Due-date performance improvement using TOC’s aggregated time buffer method at a wafer fabrication factory
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International distribution center selection from a foreign market perspective using a weighted fuzzy factor rating system
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Constructing a reassigning credit scoring model
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Application of automatically constructed concept map of learning to conceptual diagnosis of e-learning
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Applying a fuzzy multiple criteria decision-making approach to the M&A due diligence
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Index evaluations and business strategies on communities of practice
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Rule extraction from trained adaptive neural networks using artificial immune systems
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Improved kernel fisher discriminant analysis for fault diagnosis
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An application of intelligent techniques and semantic web technologies in e-learning environments
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Palm extraction and identification
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Decision support for proposal grouping: A hybrid approach using knowledge rule and genetic algorithm
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Design for All in action: An example of analysis and implementation
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Constructing a decision tree from data with hierarchical class labels
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Intelligent system for the analysis of microarray data using principal components and estimation of distribution algorithms
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Behavior-based spam detection using a hybrid method of rule-based techniques and neural networks
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Intelligent production control decision support system for flexible assembly lines
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Combined MCDM techniques for exploring stock selection based on Gordon model
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A hybrid system for planning the development level of resort
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Online-SVR for short-term traffic flow prediction under typical and atypical traffic conditions
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An improved method for forecasting enrollments based on fuzzy time series and particle swarm optimization
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Online unsupervised formation of cell assemblies for the encoding of multiple cognitive maps
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Facilitating neural dynamics for delay compensation: A road to predictive neural dynamics?
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Neural network approach to continuous-time direct adaptive optimal control for partially unknown nonlinear systems
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Improving BCI performance by task-related trial pruning
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Neural mind reading of multi-dimensional decisions by monkey mid-brain activity
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Prediction of arm trajectory from the neural activities of the primary motor cortex with modular connectionist architecture
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Optimal control of unknown affine nonlinear discrete-time systems using offline-trained neural networks with proof of convergence
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Extending the Evolutionary Robotics approach to flying machines: An application to MAV teams
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A configurable simulation environment for the efficient simulation of large-scale spiking neural networks on graphics processors
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Ascertaining neuron importance by information theoretical analysis in motor Brain–Machine Interfaces
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Here and now: How time segments may become events in the hippocampus
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Chaotic phase synchronization and desynchronization in an oscillator network for object selection
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Error-probability noise benefits in threshold neural signal detection
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Surveying stock market forecasting techniques – Part II: Soft computing methods
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An artificial chaotic spiking neuron inspired by spiral ganglion cell: Paralleled spike encoding, theoretical analysis, and electronic circuit implementation
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Integrated feature and parameter optimization for an evolving spiking neural network: Exploring heterogeneous probabilistic models
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Statistics over features of ECG signals
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Parametric and nonparametric evolutionary computing with a content-based feature selection approach for parallel categorization
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The impact of estimation error on the dynamic order admission policy in B2B MTO environments
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Comparing the performance of traditional cluster analysis, self-organizing maps and fuzzy C-means method for strategic grouping
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Application of VPRS model with enhanced threshold parameter selection mechanism to automatic stock market forecasting and portfolio selection
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A method of stepwise benchmarking for inefficient DMUs based on the proximity-based target selection
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Multi-instance genetic programming for web index recommendation
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GA-based learning bias selection mechanism for real-time scheduling systems
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False positive reduction in urinary particle recognition
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