This paper deals with the neural estimation of housing building s major material and labour consumption based on the multilayer feedforward neural network model trained by using the back propagation learning algorithm.

The examples of forecasting the costs and consumption of labors and materials for office buildings, hotels and school buildings are given out, which have proved the method is speedy, accurate, convenient, reliable and well thought out.

Experiences in decreasing the raw material consumption in the production of chloroacetic acid;

Several aspects of this two processes were compared respectively, such as the material consumption, cost estimation, process properties, economic benefits and social effects, etc.

This article analyzes the present conditions of fuel consumption of local vehicles in the view of existing problems,and put forward some measures for economizing fuel with practical experience.

Fuel consumption for a series of lunar probe engines with different thrust weight ratios and specific impulses is simulated based on above two techniques.