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A novel dynamic structure-based neural network determination approach using orthogonal genetic algorithm with quantization is proposed in this paper.
Later on, we will consider the same problem with missing data on one species and a robust network determination problem.
Causal network determination relies on causal signals leaving a signature in the gene expression dynamics, essentially a correlation between X t + 1 and X t.
We present a network determination algorithm that can treat model descriptions with polynomial and rational functions and which does not make use of linearization.
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Related research focuses on the unit start-up sequence optimization, the backbone-network determination, the restoration path optimization, and the transmission loop paralleling.
Some classical music enthusiasts remain infuriated by the network's determination to accommodate genres including jazz and world music (Radio 3 will be broadcasting the Womad festival next weekend from the Wiltshire countryside).
The effectiveness of the new strategy is verified by a GPS regional network orbit determination experiment.
A fuzzy procedure is designed for quasi-optimal network structure determination based on learning stage information.
Establishing the number of hidden neurons by method of self learning network architecture determination and also by trial and error method was examined.
Two main problematic issues related to neural controllers trained on-line are discussed: initial parameters selection for a neural network and determination of learning factors used in adaptation algorithms.
For instance, by increasing the relative training set size from 1% to 3% in the air network, the determination coefficient of the hybrid gravity model grows from (mathrm{r}^{2} =0.4) to (mathrm{r}^{2} =0.6), while the performance of the gravity model is unaltered.
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