Prediction of fracture frequency from wireline data with the aid of artificial neural networks

ISSN： 0371-7453

Source： Applied Earth Science, Vol.109, Iss.3, 2000-12, pp. : 190-195

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Related content

Artificial neural networks – an aid to welding induced ship plate distortion?

By Lightfoot M. P. Bruce G. J. Mcpherson N. A. Woods K.

Science and Technology of Welding & Joining, Vol. 10, Iss. 2, 2005-04 ,pp. : 187-189

Maney Publishing

Access to resources Recommend Favorite

Artificial Neural Networks Used for Development Prediction of State-of-the-Art Surface Engineering Areas

Solid State Phenomena, Vol. 2015, Iss. 220, 2015-01 ,pp. : 785-6

Trans Tech Publications

Access to resources Recommend Favorite

Genetic algorithm–artificial neural network model for the prediction of germanium recovery from zinc plant residues

By Akkurt S. Ozdemir S. Tayfur G.

Mineral Processing and Extractive Metallurgy, Vol. 111, Iss. 3, 2002-12 ,pp. : 129-134

Maney Publishing

Access to resources Recommend Favorite

Predicting HAZ Hardness with Artificial Neural Networks

By Chan Billy Bibby Malcolm Holtz Neal

Canadian Metallurgical Quarterly, Vol. 34, Iss. 4, 1995-10 ,pp. : 353-356

Maney Publishing

Access to resources Recommend Favorite

Application of artificial neural network for prediction of marine diesel engine performance

IOP Conference Series: Materials Science and Engineering, Vol. 100, Iss. 1, 2015-12 ,pp. : 194-203

IOP Publishing

Access to resources Recommend Favorite