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This paper presents a new evolutionary artificial neural network (ANN) algorithm named IPSONet that is based on an improved particle swarm optimization (PSO). The improved PSO employs parameter automation strategy, velocity resetting, and crossover and mutations to significantly improve the performance of the original PSO algorithm in global search and(More)
This paper presents an improved particle swarm optimization (PSO) and discrete PSO (DPSO) with an enhancement operation by using a self-adaptive evolution strategies (ES). This improved PSO/DPSO is proposed for joint optimization of three-layer feedforward artificial neural network (ANN) structure and parameters (weights and bias), which is named ESPNet.(More)
Robustness is one of the most important topics for automatic speech recognition (ASR) in practical applications. Mon-aural speech separation based on computational auditory scene analysis (CASA) offers a solution to this problem. In this paper, a novel system is presented to separate the monaural speech of two talkers. Gaussian mixture models (GMMs) and(More)
Cloze-style queries are representative problems in reading comprehension. Over the past few months, we have seen much progress that utilizing neural network approach to solve Cloze-style questions. In this paper, we present a novel model called attention-over-attention reader for the Cloze-style reading comprehension task. Our model aims to place another(More)
(2009) Empirical analysis of support vector machine ensemble classifiers. Abstract Ensemble classification – combining the results of a set of base learners – has received much attention in the machine learning community and has demonstrated promising capabilities in improving classification accuracy. Compared with neural network or decision tree ensembles,(More)
BACKGROUND Currently, Posterior Short Segment Pedicle Screw Fixation is a popular procedure for treating unstable thoracolumbar/lumbar burst fracture. But progressive kyphosis and a high rate of hardware failure because of lack of the anterior column support remains a concern. The efficacy of different methods remains debatable and each technique has its(More)
AIM OF STUDY Diabetes mellitus is frequently combined with vascular diseases, which are associated with the expression of vascular endothelial growth factor (VEGF). An approach that can reverse the induction of VEGF by hyperglycemia may potentially benefit the outcome of diabetic patients. Therefore, in the present study, we investigated the effect of(More)
To investigate whether Salvia miltiorrhiza hydrophilic extract (SMHE) has the ability to ameliorate oxidative stress in diabetic patients with chronic heart disease (CHD), 62 patients with CHD were recruited. These patients were assigned randomly into two groups: (1) placebo group receiving hypoglycemic therapy; (2) treatment group receiving hypoglycemic(More)
The aim of this pilot study was to investigate whether the administration of Salvia miltiorrhiza hydrophilic extract (SMHE) reduced the level of soluble vascular cell adhesion molecule-1 (sVCAM-1) and von Willebrand factor (vWF) in diabetic patients with coronary heart disease (CHD). Sixty-two diabetic patients with CHD were recruited and randomly assigned(More)
Endometrial endometrioid carcinomas (EECs) account for >80% of endometrial carcinomas (ECs). Continuous stimulation of the endometrium by estrogen is a risk factor for the tumorigenesis of estrogen receptor (ER) α-positive EEC. MicroRNA-22 (miR-22) has been reported to be implicated in the regulation of various types of cancer and directly targets ERα.(More)