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In order to ensure convergence, weights must fulfill the normalization condition.
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So as to ensure the convergence, weighting coefficients are applied to the a priori information generated by the FEC decoder.
In convergence analysis, weights reflecting population sizes are often used (Dorius 2008; Goesling and Firebaugh 2004; Milanovic 2005; Theil 1989).
Compared to the iterative method with constant step-size, the most innovative character of the algorithm proposed is its capability of shortening tracking time and improving the convergence in weights updating process for complex systems or large-scale networks.
At this convergence of weights the input and output layers exhibit the stability and the performance of such type of BAM is evaluated for the test pattern set while the simulation results exhibit the better performance of associative memory for the proposed method.
Although the evidence presented indicates that first generation Hispanics gain weight, we do not find evidence for convergence in weight since the U.S.-born gain weight at a more rapid rate.
This convergence of weight with diabetes opens the way for what Finerman and Bennett (1995) called 'a blame-oriented model', wherein responsibility and blame for 'disease, its onset and outcomes are … ascribed to the afflicted'.
This study chooses a function-based approach and details how fast convergence to optimal weights for smooth flow is ensured.
Using the immune genetic algorithm global search optimization ability and good convergence, optimize the weights of the neural network, meanwhile adjusting PID parameters using BP network.
Furthermore, an adaptive learning algorithm with the robust adaptive dead zone vector is designed to improve the generalization performance of the network, and weights convergence for the network with the adaptive dead zone vectors is proved in the sense of Lyapunov functions.
The maximum number of iterations for convergence of the weights was set to 800.
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