On application of machine learning method for history matching and forecasting of times series data from hydrocarbon recovery process using water flooding

Fault Identification, Diagnosis, and Prognostics Based on Complex Signal Analysis

(2018) Minvydas Ragulskis et al.   COMPLEXITY

Hierarchical Wavelet-Aided Neural Intelligent Identification of Structural Damage in Noisy Conditions

(2017) Mao-Sen Cao et al.   Applied Sciences-Basel

Signal Denoising Method Based on Adaptive Redundant Second-Generation Wavelet for Rotating Machinery Fault Diagnosis

(2016) Na Lu et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

Short-term time series algebraic forecasting with mixed smoothing

(2016) Rita Palivonaite et al.   NEUROCOMPUTING

A simple approach for screening enhanced oil recovery methods: Application of artificial intelligence

(2016) Mohammad Ali Ahmadi et al.   PETROLEUM SCIENCE AND TECHNOLOGY

Validation of the multiscale mixed finite-element method

(2014) Mayur Pal et al.   INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN FLUIDS

Efficient screening of enhanced oil recovery methods and predictive economic analysis

(2014) Arash Kamari et al.   NEURAL COMPUTING & APPLICATIONS

An innovative neural forecast of cumulative oil production from a petroleum reservoir employing higher-order neural networks (HONNs)

(2013) N. Chithra Chakra et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Algebraic segmentation of short nonstationary time series based on evolutionary prediction algorithms

(2013) Rita Palivonaite et al.   NEUROCOMPUTING

Prediction of the Best EOR Method by Artificial Intelligence

(2013) E. Esmaeilnezhad et al.   PETROLEUM SCIENCE AND TECHNOLOGY

A new multi-gene genetic programming approach to nonlinear system modeling. Part I: materials and structural engineering problems

(2011) Amir Hossein Gandomi et al.   NEURAL COMPUTING & APPLICATIONS

Short-term time series forecasting based on the identification of skeleton algebraic sequences

(2011) Minvydas Ragulskis et al.   NEUROCOMPUTING

Evolutionary algorithms for the selection of time lags for time series forecasting by fuzzy inference systems

(2010) Kristina Lukoseviciute et al.   NEUROCOMPUTING