Sentence examples for input backward from inspiring English sources

The self-orthogonalized backward prediction error vector, b ̂ m − 1 ( n ), is produced by the lower triangular transformation of the input backward prediction error vector, b m−1(n), using L m f ( n ), and this operation is accomplished at the triangular shaped self-orthogonalization processor (related to forward prediction) of the m th SPMLS.

The self-orthogonalized backward prediction error vector, (hat {mathbf {b}}_{m-1}(i) ), is produced by the lower triangular transformation of the input backward prediction error vector, b m−1(i), using L m (n), and this operation is accomplished at the triangular shaped self-orthogonalization processor (related to forward prediction) of the mth SPMGLS.

High-level association cortices not only receive feedforward signals from sensory regions but also anticipate and reciprocate these inputs with backward connections conferring context-specificity and higher-level constraints (i.e. predictions) (Rao and Ballard, 1999; Friston, 2003, 2005; Angelucci and Bressloff, 2006).

The elements of input forward and backward prediction error vectors in Equations (23) and (24) are orthogonalized by using self-orthogonalization processors (SOPs), which are triangular-shaped processors in Figure 3.

Here, prediction error in LvOT refers to the mismatch between bottom-up inputs in the forward connections and top-down inputs from the backward connections.

Another factor impacting the performance of software effort prediction models is input selection, for example, Backward Forward.

For example, on the input supply side (the backward linkages), there will be a growing demand for capital goods, such as tools and agricultural machinery, as well as for the associated service inputs.

Furthermore, models were developed using contemporaneous monitoring data (rather than extrapolating backward using input data from more recent years), and all models were evaluated, with performance statistics equal to those obtained in models for recent years.

Bidirectional (B-LSTM) models are obtained by combining forward and backward processing of input data.

The experimental results show that, the square voltage amplitude being 12 V, the actuator displacement amplitude is about 17 μm with backward direction signal input while being 1.5 μm under forward direction signal.

This module receives as input both the forward and backward perspective transforms (defined by their associated PTVs) and generates a unified perspective motion field for the SI frame, after eliminating the PTVs classified as unreliable (see Section 4 for more details).