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The use of biomass for energy generation has aroused great attention and interest because of the global climate changes, environmental pollution and reduction of availability of fossil energy.
Global climate change, environmental pollution and reduction of the availability of fossil energy resources make renewable energy a topic of growing importance.
A statistic analysis of the experimental data from pyrolysis of CNS was made by using the technique of the design of experiments (DOE).

The geothermal water temperature is 50℃ and the water can be raised to the surface for comprehensive utilization, in order to reduce the high pressure geothermal water hazards and avoid the waste of geothermal water, which is great significant for safety production in coal mines , energy saving and emission reduction.
According to borehole data ,when the depth of Cambrian limestone is less than 420 m ,there are many different sizes and shapes of dense karst caves, and the biggest cave is 8m.
Dewatering depressurization holes are constructed in order to raise the collected geothermal water to the surface for comprehensive utilization that not only reduce the high pressure geothermal water hazards but also avoid the waste of geothermal water, which is great meaningful for production safety in coal mines, energy saving and emission reduction.

Data points for plane part were taken in some managed way and enough number of data points was extracted representing the true contour of the surface.
Fig. 1 shows the convergence (optimization process) of the three data samples from [6].
The data were loaded in the optimized developed graphic user interface (GUI).
The algorithms speed is not affected by the number of data points and converge in the same time even if the data point is large.
Genetic algorithms + data structures= evolution programs.

It needs to collect a large number of fault samples and reliability data to reveal the fault occurrence rule and describe it with mathematical method.
Lim: Fuzzy FMEA with a guided rules reduction system for prioritization of failures.

In the end, based on the power purchase data of a provincial grid in 2013, this paper studies the optimal power purchase order to prove the feasibility of the optimization model.
Owing to the incomplete taxes policy of pollution energy-saving and emission-reduction, power grids couldn’t account the external cost accurately.

The failure mechanisms are expatiated by the numerical data and failure picture to obtain more knowledge about the mechanics behavior of composite p joints.
Introduction The integrated composite structures are gradually used in airspace structures due to their advantages of reduction in fastener and part counts, which lead to a dramatic decrease of assemble cost and primary structural weight [1].

Based on the collected data, it was found that the pH of stabilized soils showed a tendency for reaching soil’s natural pH with increasing curing time.
The data were obtained in triplicate, and the average pH was reported.
At 4 months time interval, a reduction in the CECp values of both mix designs was observed.
Also it was found that the CEC results were consistent with the compressive strength data obtained for lime mix designs.

Firstly, analysis of the impact factors of urban residents water for adjusting the prediction model; Then, the study on resilient Back Propagation algorithm, to overcome the adverse effects of gradient amplitude; Finally, the study identifies number of hidden nodes, dynamically adjust related parameters, data normalization and so on predict key steps.
When the gradient direction with the same two successive iterations can be corrected weights and threshold ​​multiplied by an incremental factor to increase correction value; When the gradient direction opposite two consecutive iterations can be corrected weights and threshold multiplied by a reduction factor, so the correction value decreases; When the gradient is zero, the correction value of weights and thresholds remain unchanged; When the correction value of weights occurs oscillation, the correction value will be reduced., the correction value will decrease.
Data normalization process To design a three-tier structure of BP network model, to predict urban water consumption.
In the resilient BP network learning process, in order to facilitate the training, to better reflect the relationship between the factors, to the sample data normalization process.

The paper presents the data and main results of the field of aptitude testing for engineers.
The ones that were polled in the questions to obtain the demographic data were: automotive, mechanical engineering, services, chemical and pharma industry, construction engineering and architects, electrical engineering, IT and telecommunications, metal processing, logistics.
That is resulting in a reduction of the effect of social desirability and is aligned to give the tested person a realistic impression of his abilities and to identify possible development potential.
These results have been summed up sophistically to relevant standard profile via demographic data that was also polled during the test.

The data at different cyanide concentrations, different temperature and different oxygen pressure are obtained.
However, platinum and palladium can not be dissolved in the cyanide solutions at room temperature and atomspheric press, although it is possible from their thermodynamic data[2,3], To elevate reaction temperature and/or under oxygen pressure, the dissolution reaction kinetics of cyanides with platinum and palladium can be improved.
The activation energy data shows the dissolution of palladium involves electrochemical process.
The dissolution mechanism involves an electrochemical process in which the anodic reaction is palladium oxidation while the cathodic reaction is oxygen reduction