A system architecture that efficiently integrates the capabilities of a trained multilayer neural network for controller design is described.
We keep the high data parallel structure in algorithm design, such that the architecture can efficiently exploit the capabilities of an FPGA with pipeline and process parallelism.
We regard such applications as a good example for using mobile computational capabilities efficiently in order to support mobile users in everyday life more properly.
Optical splitters are utilized in optical nodes for splitting the received signal into multiple copies, in order to efficiently provide multicast capabilities in optical networks.
To efficiently enhance generalization capabilities of RNNs, a recurrent self-organizing neural networks (RSONN), using an adaptive growing and pruning algorithm (AGPA), is proposed for improving their performance in this paper.
Therefore, the CR behaving as a secondary user needs to dynamically reconfigure itself to avoid any noticeable interference to the primary user by efficiently using its (1) cognitive capability, (2) reconfigurable capability, and (3) learning capability.
The obtained porous Ag2CO3 nanorods exhibit the capability to efficiently catalyze the degradation of organic pollutants under visible-light irradiation.
These reactors have demonstrated the capability of efficiently reforming liquid and gaseous hydrocarbon fuels at exceptionally high power densities.
The VHTR concept is considered to be the nearest-term reactor design that has the capability to efficiently produce hydrogen.
The most commonly used absorbent for dye removal is activated carbon, because of its capability for efficiently adsorbing a broad range of different types of dyes [3].
