Recurrent ANN-based modelling of the dynamic evolution of the surface roughness in grinding

Artificial neural network model for forecasting sub-hourly electricity usage in commercial buildings

(2016) Young Tae Chae et al.   ENERGY AND BUILDINGS

An artificial neural network to assess the impact of neighbouring photovoltaic systems in power forecasting in Utrecht, the Netherlands

(2016) A.G.R. Vaz et al.   RENEWABLE ENERGY

Artificial neural networks for infectious diarrhea prediction using meteorological factors in Shanghai (China)

(2015) Yongming Wang et al.   APPLIED SOFT COMPUTING

Maximum and minimum stock price forecasting of Brazilian power distribution companies based on artificial neural networks

(2015) Leonel A. Laboissiere et al.   APPLIED SOFT COMPUTING

Review on Grinding Tool Wear With Regard to Sustainability

(2015) Barbara S. Linke   JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME

Prediction of the Italian electricity price for smart grid applications

(2015) Emanuele Crisostomi et al.   NEUROCOMPUTING

Predicting oil price movements: A dynamic Artificial Neural Network approach

(2014) Ali Abbasi Godarzi et al.   ENERGY POLICY

Innovative NARX recurrent neural network model for ultra-thin shape memory alloy wire

(2014) Han Wang et al.   NEUROCOMPUTING

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

(2014) Ander Arriandiaga et al.   SENSORS

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

Assessing the contribution of variables in feed forward neural network

(2011) Mukta Paliwal et al.   APPLIED SOFT COMPUTING

Modeling and prediction of surface roughness in ceramic grinding

(2010) Sanjay Agarwal et al.   INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE

Optimum creep feed grinding process conditions for Rene 80 supper alloy using neural network

(2009) Abbas Vafaeesefat   International Journal of Precision Engineering and Manufacturing

Creep feed grinding optimization by an integrated GA-NN system

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