The phrase "architecture and number of" is correct and usable in written English.
It can be used when discussing the design and quantity of elements in a system, structure, or dataset.
Example: "The architecture and number of components in the software system were carefully planned to ensure efficiency."
Alternatives: "design and quantity of" or "structure and count of".
The proposed routing algorithm can be extended to any array architecture and number of connections thanks to its modularity and scalability.
Once a preliminary solution is found by the optimization algorithm, stochastic Petri nets are used to model different repair policies, and to find the best system configuration (architecture and number of repairmen) in terms of global performance (availability and cost).
It consists of a hybrid model composed of a modular morphological neural network (MMNN) combined with a particle swarm optimizer (PSO), which searches for the best time lags to optimally describe the time series phenomenon, as well as estimates the initial (sub-optimal) parameters of the MMNN (weights, architecture and number of modules).
It is inspired on Takens Theorem and consists of an intelligent hybrid model composed of a Modular Morphological Neural Network (MMNN) combined with a Modified Genetic Algorithm (MGA), which searches for the particular time lags capable of a fine tuned characterization of the time series and estimates the initial (sub-optimal) parameters (weights, architecture and number of modules) of the MMNN.
Depending on the material, square footage, type of roof, slope, architecture, and number of interruptions such as chimneys, skylights, dormers, and vents, a roof replacement can cost thousands of thousands dollars.
We analyzed the performances of NN with different architecture and number of neurons (Figure 2).
For the computer architectures and number of processors employed in this study, it has been found that this implementation is more efficient than the standard one, and can be applied to narrow-band matrices and other preconditioners, such as, for example, polynomial ones.
These oxidases have been classified according to the architecture, location and number of proton pathways.
The central nervous system (CNS) develops from a population of neural stem and progenitor cells (NSPC) in a spatially and temporally defined manner, with prenatal neurogenesis followed by a wave of postnatal gliogenesis, to generate the appropriate architecture, and types and number of cells of which the mature CNS is compromised [1], [2].
Simulation results showed the efficiency of the proposed architecture in terms of QoE and number of sessions compared to two other architectures (adaptive architecture and non-adaptive architecture).
Unless otherwise indicated, 165 networks were trained for each architecture (number of inputs and number of neurons) and the 33 having the best performance (combining training and verification statistics) were retained in the final ANNE for that architecture.
