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Daneshyari Artificial Intelligence Journas Latest Articles

Artificial Intelligence Research Articles

Generating MDA’s platform independent model using URDAD
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Supervised data analysis and reliability estimation with exemplary application for spectral data
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A hybrid stock trading system for intelligent technical analysis-based equivolume charting
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Time series prediction using RBF neural networks with a nonlinear time-varying evolution PSO algorithm
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An artificial neural network based dynamic controller for a robot in a multi-agent system
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A graph matching approach for labeling brain sulci using location, orientation, and shape
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Energy coding and energy functions for local activities of the brain
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Weather derivatives pricing: Modeling the seasonal residual variance of an Ornstein–Uhlenbeck temperature process with neural networks
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Discrete combinatorial circuits emerging in neural networks: A mechanism for rules of grammar in the human brain?
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Evolving neural networks for strategic decision-making problems
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Nonlinear modeling of neural population dynamics for hippocampal prostheses
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Methods for estimating neural firing rates, and their application to brain–machine interfaces
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A novel intuitive GUI method for user-friendly operation
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Residual variance estimation in machine learning
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Understanding behaviors of a constructive memory agent: A markov chain analysis
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Generation and control of cortical gamma: findings from simulation at two scales
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Adaptive importance sampling for value function approximation in off-policy reinforcement learning
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Another look at statistical learning theory and regularization
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How does non-random spontaneous activity contribute to brain development?
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Solving polynomial systems via symbolic-numeric reduction to geometric involutive form
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The q-WZ method for infinite series
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Data clustering and fuzzy neural network for sales forecasting: A case study in printed circuit board industry
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Navidget for 3D interaction: Camera positioning and further uses
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Effect of evaluators’ cognitive style on heuristic evaluation: Field dependent and field independent evaluators
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Parameterizing surfaces with certain special support functions, including offsets of quadrics and rationally supported surfaces
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γ–C plane and robustness in static reservoir for nonlinear regression estimation
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Implications of synaptic biophysics for recurrent network dynamics and active memory
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Cortical circuits for perceptual inference
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Application of the OBD method for optimization of neural state variable estimators of the two-mass drive system
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An experimental study on methods for the selection of basis functions in regression
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Binary classification using ensemble neural networks and interval neutrosophic sets
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Multi-objective clustering ensemble for gene expression data analysis
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Combined projection and kernel basis functions for classification in evolutionary neural networks
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Allocation of partitioned data by using a neural network based approach
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Decomposition techniques for training linear programming support vector machines
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Improvement of Auto-Regressive Integrated Moving Average models using Fuzzy logic and Artificial Neural Networks (ANNs)
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On the effect of feedback in multilevel representation spaces for visual surveillance tasks
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CMAC-based neuro-fuzzy approach for complex system modeling
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Certifying properties of an efficient functional program for computing Gröbner bases
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Computational framework for behavioural modelling of neural subsystems
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Graph self-organizing maps for cyclic and unbounded graphs
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An information-theoretic approach to feature extraction in competitive learning
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Orthogonal-least-squares regression: A unified approach for data modelling
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TDM modeling and evaluation of different domain transforms for LSI
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Towards understanding hierarchical clustering: A data distribution perspective
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Generalized N-dimensional principal component analysis (GND-PCA) and its application on construction of statistical appearance models for medical volumes with fewer samples
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Using promoters and functional introns in genetic algorithms for neuroevolutionary learning in non-stationary problems
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A granular extension of the fuzzy-ARTMAP (FAM) neural classifier based on fuzzy lattice reasoning (FLR)
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Adaptive particle swarm optimization for CNN associative memories design
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A fast and accurate online self-organizing scheme for parsimonious fuzzy neural networks
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Identifying source(s) of out-of-control signals in multivariate manufacturing processes using selective neural network ensemble
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Effects of feature construction on classification performance: An empirical study in bank failure prediction
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Modeling and implementing an agent-based environmental health impact decision support system
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Forecasting stock market short-term trends using a neuro-fuzzy based methodology
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Three-dimensional facial surface modeling applied to recognition
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Development of a self-tuning fuzzy logic controller for intelligent control of elevator systems
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Coupling control and human factors in mathematical models of complex systems
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Optimal network design and storage management in petroleum distribution network under uncertainty
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Multi-objective evolutionary optimization of polynomial neural networks for modelling and prediction of explosive cutting process
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Developing cooperation mechanism for multi-agent systems with Petri nets
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Deliveries optimization by exploiting production traceability information
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Improving decision making in fault detection and isolation using model validity
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Gaussian process approach for modelling of nonlinear systems
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An intelligent questionnaire analysis expert system
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Rule extraction by fuzzy modeling algorithm for fuzzy logic control of cisatracurium as a neuromuscular block
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Connection admission control of MPEG streams in ATM network using hierarchical fuzzy logic controller
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Parameter extraction for PSP MOSFET model using hierarchical particle swarm optimization
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Fabric defect detection based on multiple fractal features and support vector data description
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Designing function blocks for distributed process planning and adaptive control
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An iterative agent bidding mechanism for responsive manufacturing
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Extending process automation systems with multi-agent techniques
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PROSIS: An isoarchic structure for HMS control
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Factors influencing the adoption of internet banking: An integration of TAM and TPB with perceived risk and perceived benefit
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Pricing display ads and contextual ads: Competition, acquisition, and investment
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An incentive mechanism for message relaying in unstructured peer-to-peer systems
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A granularity-based framework of deduction, induction, and abduction
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An improved EZ-GCD algorithm for multivariate polynomials
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D’Alembertian series solutions at ordinary points of LODE with polynomial coefficients
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Computation of 2-groups of narrow logarithmic divisor classes of number fields
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Milnor algebras could be isomorphic to modular algebras
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Sylvester’s double sums: The general case
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Optimal actions in problems with convex loss functions
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Applying the imprecise Dirichlet model in cases with partial observations and dependencies in failure data
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Practical robust estimators for the imprecise Dirichlet model
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Fuzzy economic order time models with random demand
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An analysis of Ruspini partitions in Gödel logic
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Possibilistic networks for information retrieval
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Using scatterplots to understand and improve probabilistic models for text categorization and retrieval
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Should we collude? Analyzing the benefits of bidder cooperation in online group-buying auctions
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Concepts and fuzzy sets: Misunderstandings, misconceptions, and oversights
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An anytime deduction algorithm for the probabilistic logic and entailment problems
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Partially constructed knowledge for semantic query
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Predicting business failure using multiple case-based reasoning combined with support vector machine
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Using Ant Colony Optimization algorithm for solving project management problems
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A data analysis decision support system for the carbon dioxide capture process
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An intelligent strategy for the automatic detection of highlights in tennis video recordings
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Assessing new product development project risk by Bayesian network with a systematic probability generation methodology
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Predicting bank financial failures using neural networks, support vector machines and multivariate statistical methods: A comparative analysis in the sample of savings deposit insurance fund (SDIF) transferred banks in Turkey
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Cooperative capacity planning and resource allocation by mutual outsourcing using ant algorithm in a decentralized supply chain
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Flexible least squares for temporal data mining and statistical arbitrage
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