Application of distributed supercomputing in neural computing platform;

In oil and water layer identification,using neural computing has disadvantages including complex network structure and long training time caused by large input information space dimension,and low matching accuracy of network caused by redundant attribute.

It is not only helpful for scientists to investigate machine learning and neural computing but also helpful for common engineers to solve real world problems using neural network techniques.

Introduces a new method for calculating air conditioning loads—neural calculation method, and depicts its concept, theory and procedure.

In order to determine formation acoustic porosity accurately and provide logging interpretation with the evaluation and prediction of oil-gas storage, the neural computation method superior to that of traditional is studied, and it has been of important application value to determine acoustic porosity in acoustic logging.