Going down from ecological systems, to organisms, organs and cells and subcellular components, the lowest level description of biological systems is in terms of single molecules and atoms [ 1].
Aristotle treats the science at the lowest level, descriptions of the rainbow, astronomical phenomena, and acoustical harmonics, as descriptive, providing the fact that something is the case, but not the explanation, which is provided by the higher science.
A fundamental qualitative descriptive design [ 19] was utilised to enable a comprehensive, low-inference description of phenomena for the purpose of informing program development.
These samples provide a low-resolution description of the field.
At best, it supplies a low-level description that helps bridge the gap between Turing-style computation and neuroscientific description.
Furthermore, a low-rank description of the channel, being used by the channel estimation algorithms, is also introduced in section.
First, the use of low-level description languages such as very high speed integrated circuit hardware description language (VHDL) results in slow development stages.
Our approach, based on the strong correlations among the variables which rapidly develop in each of the clusters separately during the initial transient, gives rise to a low-dimensional description of a large heterogeneous network.
Regarding the implementation, it is worth noting that, traditionally, the development on the FPGA was carried out by using low-level description languages such as Very High-Speed Integrated Circuit Hardware Description Language (VHDL), which usually derive into slow development stages.
As a suitable neural network, a feedforward neural network was chosen and its function, global objective, respectively (i.e., avoid obstacles in the space), was decomposed using a low-level description into individual patterns in a training set.
