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Daneshyari Artificial Intelligence Journas Latest Articles

Artificial Intelligence Research Articles

Characterization of the convergence of stationary Fokker–Planck learning
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Solving differential equations with constructed neural networks
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Dynamical analysis of Cohen–Grossberg neural networks with time-delays and impulses
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Local region structured noise reduction for cortical optical imaging
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Combining local and global information for nonlinear dimensionality reduction
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Robustness of an adaptive MRI segmentation algorithm parametric intensity inhomogeneity modeling
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Complex wavelet based texture classification
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Neighborhood based modified backpropagation algorithm using adaptive learning parameters for training feedforward neural networks
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Convergence of non-autonomous discrete-time Hopfield model with delays
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Block attractor in spatially organized neural networks
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A class of discrete time recurrent neural networks with multivalued neurons
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Emerging motor behaviors: Learning joint coordination in articulated mobile robots
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Evidences of cognitive effects over auditory steady-state responses by means of artificial neural networks and its use in brain–computer interfaces
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New delay-dependent asymptotic stability conditions concerning BAM neural networks of neutral type
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Fusion ANFIS models based on multi-stock volatility causality for TAIEX forecasting
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Adaptive output-feedback decentralized control of a class of second order nonlinear systems using recurrent fuzzy neural networks
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Adaptive synchronization for competitive neural networks with different time scales and stochastic perturbation
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Subspace learning-based dimensionality reduction in building recognition
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Two-dimensional local graph embedding discriminant analysis (2DLGEDA) with its application to face and palm biometrics
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Prediction of credit delinquents using locally transductive multi-layer perceptron
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Transient responses of activity-dependent synapses to modulated pulse trains
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A sparsely connected network to model the relay stations of the sheep milk ejection reflex
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Applying PCA neural models for the blind separation of signals
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Exploring new possibilities for case-based explanation of artificial neural network ensembles
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Embodying meaning: Insights from primates, autism, and Brentano
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Applications of the general projection neural network in solving extended linear-quadratic programming problems with linear constraints
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Network mechanisms of gamma oscillations in the CA3 region of the hippocampus
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Feature extraction using fuzzy inverse FDA
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Mean square asymptotic behavior of stochastic neural networks with infinitely distributed delays
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Automatic detection of breast cancers in mammograms using structured support vector machines
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New neural network algorithm for image reconstruction from fan-beam projections
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Delay-dependent robust stability analysis of uncertain stochastic neural networks with discrete interval and distributed time-varying delays
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Perceptron training algorithms designed using discrete-time control Liapunov functions
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Variant of Gaussian kernel and parameter setting method for nonlinear SVM
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A self-organizing feature maps and data mining based decision support system for liability authentications of traffic crashes
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An improved elastic net method for traveling salesman problem
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A TCNN filter algorithm to maximum clique problem
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Selective combination of multiple neural networks for improving model prediction in nonlinear systems modelling through forward selection and backward elimination
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Goal-directed control and its antipodes
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On the distribution of the roots of a fifth degree exponential polynomial with application to a delayed neural network model
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Neural network learning algorithm for a class of interconnected nonlinear systems
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The perception loop in CiceRobot, a museum guide robot
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Passivity analysis of discrete-time stochastic neural networks with time-varying delays
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A density-based method for adaptive LDA model selection
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Bifurcation control in small-world networks
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Factored sequence kernels
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Computational intelligence-based congestion prediction for a dynamic urban street network
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RGA-based on-line tuning of BMF fuzzy-neural networks for adaptive control of uncertain nonlinear systems
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Eliciting compact T–S fuzzy models using subtractive clustering and coevolutionary particle swarm optimization
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Blind source extraction based on generalized autocorrelations and complexity pursuit
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Theory and method of genetic-neural optimizing cut-off grade and grade of crude ore
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Detecting LTR structures in human genomic sequences using profile hidden Markov models
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Nonlinear neural network forecasting model for stock index option price: Hybrid GJR–GARCH approach
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Attribute weighting via genetic algorithms for attribute weighted artificial immune system (AWAIS) and its application to heart disease and liver disorders problems
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BP neural network with rough set for short term load forecasting
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Fuzzy dual-factor time-series for stock index forecasting
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Regularized least squares fuzzy support vector regression for financial time series forecasting
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Hybrid approach using case-based reasoning and rule-based reasoning for domain independent clinical decision support in ICU
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A fuzzy quality control-decision support system for improving operational reliability of liquid transfer operations in laboratory automation
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An improved binary particle swarm optimization for unit commitment problem
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HQE: A hybrid method for query expansion
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Differential evolution trained wavelet neural networks: Application to bankruptcy prediction in banks
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Kernel based nonlinear dimensionality reduction for microarray gene expression data analysis
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JESS-based web interface for XML document validation
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The forecasting model based on wavelet ν-support vector machine
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On-line analytical framework for the 2-DE based proteome information
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Detection of cloaked web spam by using tag-based methods
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Process-centered knowledge model and enterprise ontology for the development of knowledge management system
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Customer evaluation for order acceptance using a novel class of fuzzy methods based on TOPSIS
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CRM to improve the avoidance tendency in science and engineering college in Korea
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An novel approach to supplier selection based on vague sets group decision
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Detecting conserved coding genomic regions through signal processing of nucleotide substitution patterns
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Virtual genetic coding and time series analysis for alternative splicing prediction in C. elegans
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A rough set based QFD approach to the management of imprecise design information in product development
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Macro-informatics of cognition and its application for design
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An efficient approach to cross-fab route planning for wafer manufacturing
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Time Domain Parameters as a feature for EEG-based Brain–Computer Interfaces
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Selecting features for BCI control based on a covert spatial attention paradigm
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MicroRNA expression profile based cancer classification using Default ARTMAP
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Associative memories based on continuous-time cellular neural networks designed using space-invariant cloning templates
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Goal-directed learning of features and forward models
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Cross-situational learning of object–word mapping using Neural Modeling Fields
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A motivationally-based simulation of performance degradation under pressure
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A probabilistic neural network for earthquake magnitude prediction
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Generalized neuron: Feedforward and recurrent architectures
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Existence and global exponential stability of periodic solution of a cellular neural networks difference equation with delays and impulses
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Global asymptotic stability of neural networks with discontinuous activations
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An automatically constructed thesaurus for neural network based document categorization
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Design Contribution Square
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Introduction of affinity set and its application in data-mining example of delayed diagnosis
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An interval arithmetic based fuzzy TOPSIS model
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Mining globally interesting patterns from multiple databases using kernel estimation
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Multi-objective based on parallel vector evaluated particle swarm optimization for optimal steady-state performance of power systems
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An incentive pay system for project management based on responsibility assignment matrix and fuzzy linguistic variables
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The forecasting ability of Internet-based virtual futures market
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Customer churn prediction by hybrid neural networks
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Generation of new service concepts: A morphology analysis and genetic algorithm approach
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A dependency-based search strategy for feature selection
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Effective solution for unhandled exception in decision tree induction algorithms
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Intrusion detection by machine learning: A review
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