A new approach for dynamic modelling of energy consumption in the grinding process using recurrent neural networks

Utilizing artificial neural network to predict energy consumption and thermal comfort level: An indoor swimming pool case study

(2014) Baris Yuce et al.   ENERGY AND BUILDINGS

Predicting oil price movements: A dynamic Artificial Neural Network approach

(2014) Ali Abbasi Godarzi et al.   ENERGY POLICY

Virtual Sensors for On-line Wheel Wear and Part Roughness Measurement in the Grinding Process

(2014) Ander Arriandiaga et al.   SENSORS

A Bayesian regularized artificial neural network for stock market forecasting

(2013) Jonathan L. Ticknor   EXPERT SYSTEMS WITH APPLICATIONS

Monthly flow forecast for Mississippi River basin using artificial neural networks

(2013) C. Sivapragasam et al.   NEURAL COMPUTING & APPLICATIONS

Neural networks to predict earthquakes in Chile

(2012) J. Reyes et al.   APPLIED SOFT COMPUTING

Artificial neural network simulation of hourly groundwater levels in a coastal aquifer system of the Venice lagoon

(2012) Riccardo Taormina et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Prediction of rainfall time series using modular soft computingmethods

(2012) C.L. Wu et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Time-delay neural networks for time series prediction: an application to the monthly wholesale price of oilseeds in India

(2012) Girish K. Jha et al.   NEURAL COMPUTING & APPLICATIONS

Health Condition Prediction of Gears Using a Recurrent Neural Network Approach

(2010) Zhigang Tian et al.   IEEE TRANSACTIONS ON RELIABILITY

Forecasting peak air pollution levels using NARX models

(2009) Enrico Pisoni et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Creep feed grinding optimization by an integrated GA-NN system

(2009) M. Sedighi et al.   JOURNAL OF INTELLIGENT MANUFACTURING