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Daneshyari Artificial Intelligence Journas Latest Articles

Artificial Intelligence Research Articles

Domain-dependent distributed models for railway scheduling
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Contents
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Learning grammatical structure with Echo State Networks
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A variational EM approach to predictive uncertainty
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Knowledge-based modularization and global optimization of artificial neural network models in hydrological forecasting
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Improving weather radar estimates of rainfall using feed-forward neural networks
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Convergence analysis of a simple minor component analysis algorithm
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An LMI approach to global asymptotic stability of the delayed Cohen–Grossberg neural network via nonsmooth analysis
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The learning vector quantization algorithm applied to automatic text classification tasks
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R+n-global stability of a Cohen–Grossberg neural network system with nonnegative equilibria
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Context-dependent retrieval of information by neural-network dynamics with continuous attractors
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Organization of the state space of a simple recurrent network before and after training on recursive linguistic structures
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Principles for consciousness in integrated cognitive control
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Application of bacterial foraging technique trained artificial and wavelet neural networks in load forecasting
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Bringing chatbots into education: Towards natural language negotiation of open learner models
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A reusable commitment management service using Semantic Web technology
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On-line monitoring of plan execution: A distributed approach
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An embedded system for knowledge-based cost evaluation of molded parts
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A cognitive approach for agent-based personalized recommendation
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A retraining methodology for enhancing agent intelligence
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Exploiting semantic annotation to supporting user browsing on the web
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Validation of the awareness net model for the Australian security investment processes
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A bio-inspired emergent system for intelligent Web service composition and management
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Measuring emotional valence to understand the user's experience of software
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Gröbner bases with coefficients in rings
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Exponential synchronization of stochastic perturbed chaotic delayed neural networks
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Adaptive neural network control of uncertain nonlinear systems with nonsmooth actuator nonlinearities
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A new approach to solve the traveling salesman problem
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Criticality of lateral inhibition for edge enhancement in neural systems
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Prediction- and simulation-error based perceptron training: Solution space analysis and a novel combined training scheme
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Probabilistic 3D object recognition from 2D invariant view sequence based on similarity
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Fuzzy kappa for the agreement measure of fuzzy classifications
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Neural-fuzzy control of truck backer-upper system using a clustering method
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Adaptive feature representation for robust face recognition using context-aware approach
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Further result on asymptotic stability criterion of neural networks with time-varying delays
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Noise enhancement of signal transduction by parallel arrays of nonlinear neurons with threshold and saturation
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A self-organizing map of sigma–pi units
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New criteria of global exponential stability for a class of generalized neural networks with time-varying delays
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Symbolic computation with finite biquandles
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Time series prediction of the CATS benchmark using Fourier bandpass filters and competitive associative nets
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New trends in Cognitive Science: Integrative approaches to learning and development
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A relative trust-region algorithm for independent component analysis
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Adaptive sensor modelling and classification using a continuous restricted Boltzmann machine (CRBM)
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Dynamical computation reservoir emerging within a biological model network
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Learning sensory representations with intrinsic plasticity
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Displaced strategies optimize connectivity in neocortical networks
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Robust self-tuning semi-supervised learning
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Methodology for long-term prediction of time series
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Heuristics for the selection of weights in sequential feed-forward neural networks: An experimental study
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Inter-spike-intervals analysis of AER Poisson-like generator hardware
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Level of Internet use by Chinese businesses: A preliminary study
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A machine vision inspector for beer bottle
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Nonlinear system modeling and robust predictive control based on RBF-ARX model
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Identification of dynamic diagnostic models with the use of methodology of knowledge discovery in databases
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Approximation spaces in off-policy Monte Carlo learning
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Identification of tumor region parameters using evolutionary algorithm and multiple reciprocity boundary element method
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Knowledge discovery-based identification of musical pitches and instruments in polyphonic sounds
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Evolutionary algorithm determining defuzzyfication operators
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Neuro-fuzzy networks and their application to fault detection of dynamical systems
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Design and implementation of NN5 for Hong Kong stock price forecasting
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Neural networks with quantum gated nodes
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Internet-based remote supervision of industrial processes using self-organizing maps
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Bargaining strategy formulation with CRM for an e-commerce agent
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A user-independent real-time emotion recognition system for software agents in domestic environments
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Regression analysis for massive datasets
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Tests and variables selection on regression analysis for massive datasets
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Using semantic dependencies for consistency management of an ontology of brain–cortex anatomy
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An fMRI framework for identifying statistical differences in blood oxygenated level dependent response levels: A brain injury demonstration
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A multi-approaches-guided genetic algorithm with application to operon prediction
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From here to human-level AI
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CPM: A collaborative process modeling for cooperative manufacturers
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A p2p based service flow system with advanced ontology-based service profiles
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Conflicts classification and solving for collaborative feature modeling
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To support multidisciplinary communication in VR-based virtual prototyping of mechatronic systems
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Exploring the CSCW spectrum using process mining
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On set-valued nonlinear equations in Menger probabilistic normed spaces
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k-lp-Lipschitz t-norms
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On some metrics compatible with the Fell–Matheron topology
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Conceptual design of remote monitoring and fault diagnosis systems
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Particle model to optimize resource allocation and task assignment
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A local-density based spatial clustering algorithm with noise
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A weighting function for improving fuzzy classification systems performance
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Recent Literature
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Image color segmentation using the fuzzy tree algorithm T-LAMDA
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Textures and C-spaces
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A unifying study between modal-like operators, topologies and fuzzy sets
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Regularity and Lusin's theorem for Riesz space-valued fuzzy measures
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Entropy conserving probability transforms and the entailment principle
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Applying knowledge engineering techniques to customer analysis in the service industry
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One-to-one correspondence between fuzzifying topologies and fuzzy preorders
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An extension theorem for submeasures on Łukasiewicz–Moisil algebras
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The Alexandroff theorem for Riesz space-valued non-additive measures
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Airbag controller designed by adaptive-network-based fuzzy inference system (ANFIS)
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Fuzzy facility location problem with preference of candidate sites
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Interval estimations of global weights in AHP by upper approximation
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Optimal solutions in optimization problem with objective function depending on fuzzy parameters
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Relationship between knowledge sharing and performance: A survey in Xi’an, China
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Focusing on non-respondents: Response modeling with novelty detectors
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Modeling research on the sorption kinetics of pentachlorophenol (PCP) to sediments based on neural networks and neuro-fuzzy systems
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Optimizing the distribution of shopping centers with parallel genetic algorithm
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