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Considering the local optimal flaw of BPNN, this paper presents a novel chaotic sequence optimization BPNN method for improving the accuracy of E-nose prediction.
The sequence optimization only considers a peak power constraint and no bandwidth constraint.
Now we can define the training sequence optimization problem as (27).
These findings underscore the importance of AO sequence optimization for exon skipping.
Various sequence optimization algorithms were compared and two resulting designed sequences were experimentally evaluated.
A multicriterion stacking sequence optimization technique for composite laminates subjected to multiple loading conditions is introduced.
A Pareto-based multiobjective evolutionary algorithm is presented for stacking sequence optimization of composite structural parts.
Sequence optimization and appropriate sequence selection is still an unmet need in magnetic resonance fingerprinting (MRF).
Combinatorial sequence optimization for protein design requires libraries of discrete side-chain conformations.
More than 20,000 bacterial and 30,000 fungal valid reads were obtained for each replicate a sequence optimization process.
In addition, a 16-QAM alphabet has been considered for sequence optimization (Section 6) with MTx=2.
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