The phrase "a suitable network of" is correct and usable in written English.
It can be used when discussing the appropriateness or effectiveness of a network in various contexts, such as technology, social connections, or organizational structures.
Example: "To enhance collaboration, we need to establish a suitable network of professionals in our industry."
Alternatives: "an appropriate network of" or "a fitting network of".
We first present some background on existing work and emphasize that the notion of delay and the choice of a suitable network coding strategy are highly entangled with the underlying application.
A possible construction of a suitable network is presented in Appendix B.
To identify specialization effects in interactions, however, a suitable network metric should be independent of variation in total species diversity and abundance.
Although a protein-protein interaction network could provide a simplified yet systematic view of functional relationships between genes, the coverage of available protein-protein interaction networks is typically low, and the reliability of different protein-protein interaction networks is quite different [ 19], making the selection of a suitable network far from trivial.
The implication of this is that to be more specific we need suitable network models of the biological systems of interest (Kell 2007), and of how toxicants of any kind can interact with their components.
The most suitable network architecture of the CP-ANN was chosen using a genetic algorithm optimisation procedure for global optimisation and to avoid chance results caused by random initialisation.
Compactness of the network is a suitable measure of network development [ 22] and is defined as the ratio Acells/ Ahull, with Acells the number of lattice sites occupied by cells within a convex hull around all cells and Ahull the total number of lattice sites within the convex hull.
With the appearance of biomedical sensors and suitable network protocols, a new generation of wireless sensor networks has emerged: body area networks (BAN).
The paper deals with a design of a suitable neural network structure to approximate a nonlinear function of the identified system.
