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In this paper particle swarm optimization is used to implement a synthesis procedure for cellular neural networks autoassociative memories.
Unlike the methodology applied in this study, we have to design and implement a synthesis technique; that is, a technique able to automatically detect agglomerations using information from different artifacts of a system beyond the source code.
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Before implementing a synthesis technique, it is necessary to define the main requirements that such a technique must satisfy.
The above considerations make it appropriate that in the present Heshun NTD study we implement an adequate synthesis of quantitative techniques including spatial NTD analysis.
We compile and implement a strategy for synthesis of a-C H thin films tha-C Hthins coupling a hydrocarbon gas (acetylene) with high density discharges generated by the superposition ofilmsh power impulse magnethat sputtentailsHiPIMS) and direcouplingnt magnetron sputtering (DCMS).
Results: [11C]ITDM was successfully implemented with a synthesis time of 34min from EOB (end of bombardment) including formulation, molar activity (AM) of 122.4±22.2GBq/μmol at EOS (end of synthesis), radiochemical purity of >99% and decay corrected radiochemical yield of 3.7±1.5% (based upon [11C]CO2).
Dynamic power consumption P d is mainly due to recharging of nanowire capacitances and depends on the number of nanowires allocated by the synthesis tool to implement a circuit onto the target platform and can be calculated using Eq. (3).
The number of antennas N T at the base station is assumed equal to or larger than the number of users N R. To generate the signal at the antenna N T, the base station implements a synthesis filterbank composed of M subchannels.
In this article, we propose and implement a speaker-dependent model interpolation method for HMM-based emotional speech synthesis.
Recently, Joseph M. Luther and coworkers implemented a low-temperature synthesis of α-CsPbI3 perovskite.
The first synthesis implements a cone-complementarity algorithm while the second method exploits sufficient conditions in the H∞ problem leading to a simple, non-iterative control synthesis procedure.
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