Through the sequential identification procedure, the static nonlinearity block is considered as the wavelet network which is trained and validated by the on-line learning algorithm, and the linear dynamic block is described by the state-space model in which parameters are estimated by the recursive least square algorithm.
Once the empty cross best matching position is found in the previous frame, the central block is considered as a first estimate of the white block.
The way to use the majority voting principle to classify superpixel blocks is as follows: Firstly, each superpixel block is considered as a set, and the pixels in the set are classified by SVM to obtain the multiple labels.
Various influential parameters that affect debonding resistance including thickness of the FRP strip, width of the FRP strip, elastics modulus of the FRP, bonded length, tensile strength of the masonry block and width of the masonry block are considered as input parameters to the artificial neural network (ANN) and adaptive neuro fuzzy inference system (ANFIS).
The algorithms and the computational infrastructure of creating, inserting, and using the blocks are considered as the blockchain technology.
The variables from first and second child blocks were considered as more distal determinants than the third child block [24], so the selected variables from child block 1 and 2 were modeled together and later on the selected variables from this model were added to the selected variables from child block 3 in a new regression model.
