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After the s actual data test, the forecasting result achieves the desired accuracy.
There are many methods to calculate, the most commonly used methods include WOLF method, small data arithmetic, improved small data arithmetic, etc. the WOLF method will be used to calculate in this paper.
Sampling frequency is 5 Hz, all the data were carried out pre-processing before calculating.
(3) Engineering applications Analysis data are aluminum rolling deviation based of 203 volumes collected from a aluminum manufacturing company in June 2006, 200 volumes of above data are set as the training data, the use of chaos analysis and fuzzy clustering method to construct 30 kinds of deviation modes.
The other 3 volumes data is test data which are the 1050-po1o3, the 1235-looy6 and the 5052-W10f3 actual aluminum deviation data.

Then, the data preparation, data preprocessing and the mathematical description of the algorithm for our method were presented.
Data Preparation.
Data Preprocessing.
Data preprocessing phases include: 1) data quality control.
According to related data quality standards, the raw data need to be reorganized and validated.

The observational data is bounded.
The observational data is bounded.
After reduction, there are following augmented matrix where , are system observed signal, is the noise (when ), , , is the sampling period.

The obtained experimental data were evaluated in terms of the JMAK model.
Subsequently, the material was cold rolled at room temperature to 50% reduction using a laboratory rolling mill.
After 50% reduction by cold rolling the texture is characterized by a major Brass component spread towards the Goss {110} <001> orientation with minor amount of the S component {123} <634> (Fig. 2a).

Based on the differential scanning calorimetry (DSC) data, the curve of the fraction liquid versus temperature was constructed for each alloy, indicated the temperatures corresponded to the fraction liquid of 30% and 50%.
After reduction to the desired pouring temperature, the melt was allowed to flow on a cooling slope plate made of stainless steel and coated with a thin layer of boron nitride to facilitate laminar flow of the melt.
The appropriate control of this alloying element, leads to a reduction in fraction liquid sensitivity, which has the benefit of enlarging the working window temperature.

Besides record keeping, the TRI also specifies the approach of revising TRI data.
As to new monitoring data, new emission factors, new chemical concentration data, recalculation or others, facilities may want a revision and submit a request form.
Furthermore, the Swedish PRTR data is reported to the EU every year, with a typical reporting process of 1) reporting by operators, 2) checking data quality and clarifying responsibilities, 3) data review and 4) reporting by the government [20].
After compiling, the national government publicizes those data submitted [15].
N/A: Not available or not answered A “Yes” for public dissemination of full (raw) data; “No” for public dissemination of aggregated data sets.

Resistivity data were analyzed from the obtained values of films of un-doped ZnO and associated to the structural changes.
Some of the picks suggest the presence of metallic Zn, (that which is probable, but it could not be demonstrated), since the reduction of Zn at Zn2+ is possible due to an interaction auto-regulated in the production and recombination of sub-molecules that compose it as the indoles and semiquinones [8, 16].
Apparently, a layer of copper oxide has been developed on the surface of the films, and in contact with the melanin, the reduction process is induced with ZnO like catalyst (as accelerator of the process due to the density of load negative in grain boundary) favoring its "seizure" inside the indolic structure.

It applied Taguchi method to solve problems in the reduction of processing load and thermal impact evaluation of the periphery by quill design and aimed to design an ideal tool form.
Taguchi Method Taguchi method is a kind of experimental planning method and refers to planning to obtain the maximum information about how to make experiments on the problems to solve, how to collect data and with what statistical method to analyze the data with the minimum number of times of the experiments.

A 10 Hz low-pass filter was used to smooth data.
Step 3: Apply a residual reduction algorithm (RRA) to smooth the kinematics data which improves the preciseness of the dynamic data which is consistent with the measured kinematic and kinetic data.
Fig. 4 illustrates the process of data analysis.
Fig. 4 Diagram depicting the data processing in plantar fascia nodes.
Data Availability The data that support the findings of this study are available on reasonable request from the corresponding author.

Data sources Certain questions were designed in the questionnaire for each construction project risk.
Then sample data is achieved through the process of the result of questionnaire.
Data processing and test In the processing of gained sample data, factor analysis is applied to introduce the steps of extracting data using technical risk affecting the project (16 indicators) as examples
First, principal component analysis and the feasibility test should be used on original data.
The above test results show that the original data can be carried through factor analysis