Sentence examples for trending segment from inspiring English sources

The fault is about 4 km wide and 53 km long, NW trending (excluding a southernmost, 7 km long, E-W trending segment) with a normal fault mechanism.

Under its northeast edge, Calabozos is cut by a north-south trending segment of sedimentary rock that includes gypsiferous and carbonates.

It is used to classify the mean trend segments and find those that are similar to the forecast mean trend segment.

The forecast mean trend segment (varvec{y}_{N- s-1 tau }^{(1)}) is projected to l buckets by the l hash table functions.

Due to the high randomness of the fluctuation component, similar segment searching is carried out on the mean trend segments, and a number of similar segments of the forecast mean trend segment are obtained by LSH. Figure 4 demonstrates an example of the result of similar segment searching.

Unlike the models mentioned above, the proposed model regards the remainder, which is produced by SSA, as the fluctuation component, and LSH is also used to find similar segments to the forecast mean trend segment.

Therefore, LSH is used to classify the sample segments based on hash functions and search for the similar segments of the forecast mean trend segment, which refers to the segment of the mean trend at the period of time when forecasting is to be done.

Open image in new window Fig. 2 Framework of proposed forecast model Open image in new window Fig. 3 Reconstruction of the mean trend Open image in new window Fig. 4 Searching for similar segments to forecast mean trend segment Open image in new window Fig. 5 Results of 4-step ahead forecast of Elia data set.

As for the SSA-LSH-SVR model, the function of SSA in this model is the same as in the SSA-SVR model, and LSH is employed to find similar segments to the forecast mean trend segment, which are then used to form the training input to build an SVR model.

For each trend segment, the annual percentage change (APC) and corresponding P values were calculated.

The number of trend segments is based on a segmented line regression analysis of best fit with the smallest number of "joinpoints" or points (0 or 1) at which the direction of the trend line changes.