Due to the fluctuation of bearing stratum and distinct properties soil layer, buried depth pile foundation will differ from each other as well. In practical construction, since designed length is not definitely consistent with actual length, masses piles be required cut off or supplemented, resulting in huge cost waste potential safety hazards. Accordingly, prediction great significance constru...

Abstract In view of the shortcomings traditional dissolved gas analysis technology low diagnostic veracity and intelligence, this paper proposes to use QPSO optimize nuclear argument in support vector machine (SVM), on basis, (DGA) is used diagnosis transformer faults. Firstly, data preprocessed by DGA technology, processed as input amount fault characteristics. Secondly, for optimization core ...

In the context of genetics and breeding research on multiple phenotypic traits, reconstructing the directional or causal structure between phenotypic traits is a prerequisite for quantifying the effects of genetic interventions on the traits. Current approaches mainly exploit the genetic effects at quantitative trait loci (QTLs) to learn about causal relationships among phenotypic traits. A req...

Adaptive infinite-impulse-response (IIR) filtering provides a powerful approach for solving a variety of practical signal processing problems. Because the error surface of IIR filters is typically multimodal, global optimisation techniques are generally required in order to avoid local minima. This contribution applies the particle swarm optimisation (PSO) to digital IIR filter design in a real...

Accurate forecasting of streamflows has been one of the most important issues as it plays a key role in allotment of water resources. However, the information of streamflow presents a challenging situation; the streamflow forecasting involves a rather complex nonlinear data pattern. In the recent years, the support vector machine has been used widely to solve nonlinear regression and time serie...

There are some difficulties encountered in the application of fuzzy Radial Basis Function (RBF) neural network. One of them is how to determine the number of hidden rule neurons and another difficulty is about interpretability. In order to overcome these difficulties, we have proposed a fuzzy neural network based on RBF network and takagi-sugeno fuzzy system. We have used a new structure of fuz...

Facing the massive rolling bearing vibration data, how to improve training efficiency, diagnosis and accuracy of fault model is a challenge. Considering that Spark-GPU platform provides powerful distributed parallel computing capabilities back propagation neural network (BPNN) optimized by quantum particle swarm optimization (QPSO) algorithm has characteristics low computational complexity high...

Even though several advances have been made in recent years, handwritten script recognition is still a challenging task the pattern domain. This field has gained much interest lately due to its diverse application potentials. Nowadays, different methods are available for automatic recognition. Among most of reported techniques, deep neural networks achieved impressive results and outperformed c...