Active learning of expressive linkage rules using genetic programming
در صورتی که مقاله لاتین مورد نظر شما تا کنون به زبان فارسی ترجمه نشده باشد، واحد ترجمه پایگاه ISI Articles با همکاری تنی چند از اساتید و مترجمان با سابقه، آمادگی دارد آن را در اسرع وقت و با کیفیت مطلوب برای شما ترجمه نماید.
Multi-robot path planning using co-evolutionary genetic programming
Multi-instance genetic programming for predicting student performance in web based educational environments
Modeling of arsenic, chromium and cadmium removal by nanofiltration process using genetic programming
Optimization of existing equations using a new Genetic Programming algorithm: Application to the shear strength of reinforced concrete beams
A comparison of genetic programming and artificial neural networks in metamodeling of discrete-event simulation models
Modeling global temperature changes with genetic programming
Evolving priority scheduling heuristics with genetic programming
Two-Tier genetic programming: towards raw pixel-based image classification
Multiple Instance Learning with Multiple Objective Genetic Programming for Web Mining
A genetic programming model to generate risk-adjusted technical trading rules in stock markets
Using weighted genetic programming to program squat wall strengths and tune associated formulas
Forecasting monthly urban water demand using Extended Kalman Filter and Genetic Programming
Triaxial behavior of sand–mica mixtures using genetic programming
Optimal depth estimation by combining focus measures using genetic programming
Empirical modeling of splitting tensile strength from cylinder compressive strength of concrete by genetic programming
Function identification for the intrinsic strength and elastic properties of granitic rocks via genetic programming (GP)
Multi-stage genetic programming: A new strategy to nonlinear system modeling
Prediction of shear strength of FRP-reinforced concrete beams without stirrups based on genetic programming
Comparison of genetic programming with neuro-fuzzy systems for predicting short-term water table depth fluctuations
Multi-objective design of hierarchical consensus functions for clustering ensembles via genetic programming
Evaluating the strength of intact rocks through genetic programming
A hybrid procedure for stock price prediction by integrating self-organizing map and genetic programming
A generic optimising feature extraction method using multiobjective genetic programming
Application of genetic programming for modelling of material characteristics
Forecasting time series using a methodology based on autoregressive integrated moving average and genetic programming
Evolutionary-computer-assisted design of image operators that detect interest points using genetic programming ☆
A relevance feedback method based on genetic programming for classification of remote sensing images
GP-COACH: Genetic Programming-based learning of COmpact and ACcurate fuzzy rule-based classification systems for High-dimensional problems ☆
Empirical predictive model for the vmax/amax ratio of strong ground motions using genetic programming
Genetic programming for QSAR investigation of docking energy
A machine code-based genetic programming for suspended sediment concentration estimation
Modeling manufacturing processes using a genetic programming-based fuzzy regression with detection of outliers
Sea water level forecasting using genetic programming and comparing the performance with Artificial Neural Networks
Modeling of transfer length of prestressing strands using genetic programming and neuro-fuzzy
Genetic programming for anticancer therapeutic response prediction using the NCI-60 dataset
G3P-MI: A genetic programming algorithm for multiple instance learning
A genetic programming model for bankruptcy prediction: Empirical evidence from Iran
Genetic programming-based attenuation relationship: An application of recent earthquakes in turkey
Genetic programming for credit scoring: The case of Egyptian public sector banks
A genetic programming framework for content-based image retrieval
Nonlinear model identification of an experimental ball-and-tube system using a genetic programming approach
An application of the genetic programming technique to strategy development
Genetic programming approach to predict a model acidolysis system
Neural networks with multiple general neuron models: A hybrid computational intelligence approach using Genetic Programming
Modelling damping ratio and shear modulus of sand–mica mixtures using genetic programming
Classifier design with feature selection and feature extraction using layered genetic programming
Prediction of compressive and tensile strength of limestone via genetic programming
Inference of differential equation models by genetic programming
Dynamic proportion portfolio insurance using genetic programming with principal component analysis ☆
Direct transformation of coordinates for GPS positioning using the techniques of genetic programming and symbolic regression
Neutral offspring controlling operators in genetic programming
Genetic programming neural networks: A powerful bioinformatics tool for human genetics
Formulation of ELF magnetic fields’ effects on malondialdehyde level and myeloperoxidase activity in kidney using genetic programming
Interweaving genetic programming and genetic algorithm for structural and parametric optimization in adaptive platform product customization
Thalassaemia classification by neural networks and genetic programming
Genetic programming for epileptic pattern recognition in electroencephalographic signals
Application of genetic programming to the calibration of industrial robots
A multi-objective genetic programming approach to developing Pareto optimal decision trees
Identification of response surface models using genetic programming
Bankruptcy theory development and classification via genetic programming ☆
Breast cancer diagnosis using genetic programming generated feature
Nonlinear ranking function representations in genetic programming-based ranking discovery for personalized search
The classification of cancer based on DNA microarray data that uses diverse ensemble genetic programming
Automated synthesis of passive filter circuits including parasitic effects by genetic programming