Xiao-Hong Su

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Continual increases in IC-chip complexity and performance are placing demands on the density and functionality of package I/Os. Therefore, various SMT interconnection techniques are being developed to satisfy this need, including ball-grid-array (BGA). BGA has been used in a production of PCB (printed circuit board), because of their excellent characters(More)
This paper presents a new distributed training algorithm for neural networks based on multi-agents, which is created to solve the bottleneck of memory in current prediction of protein secondary structure program, and a chip training algorithm is proposed to work in the distributed environment to evolve the global optimum by competition from a group of(More)
A new learning algorithm based on magnified error is proposed to speedup the training of back-propagation neural networks, and to improve the performances of neural network. The key to this algorithm lies in varying the error item of output layer, which magnify the backward propagated error signal especially when the weight adjustment of output layer is(More)
In this work, we try another way by introducing a novel method which combines feature selection with time sequence analysis techniques to estimate driving drowsiness. Kernelized fuzzy rough sets based technique is used to evaluate quality of candidate features and select the most useful one. S transform is adopted for blink energy analysis. Finally the(More)
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