BACKGROUND The growing tendency among opioid addicts to misuse multiple other drugs should lead clinicians and researchers to search for new pharmacological strategies in order to prevent life-threatening complications and minimize withdrawal symptoms during polydrug detoxification. METHODS A non-randomised, open-label in-patient detoxification study was used to compare the short-time efficac...

This study attempts to apply a back-propagation network (BPN) for multi-sensors data fusion in a wireless sensor networks (WSNs) system with a node-sink mobile network structure. This investigate is to finish the factory monitoring at environment monitoring services (EMS). These practice wireless sensor network circuits include temperature, humidity, ultraviolet, and illumination four variable ...

Recently, applying the novel data mining techniques for evaluating enterprise financial distress has received much research alternation. Support Vector Machine (SVM) and back propagation neural (BPN) network has been applied successfully in many areas with excellent generalization results, such as rule extraction, classification and evaluation. In this paper, a model based on SVM with Gaussian ...

AIMS Bilateral pelvic neurectomy (BPN) interferes with delivery in rats. This work measures the effect of BPN on uterine and abdominal electromyography (EMG) and pressure during gestation and delivery. METHODS Uterine EMG and intra-uterine pressure (IUP), as well as abdominal muscle EMG and intra-abdominal pressure (IAP), were recorded on days 19-24 in rats. Mean values were determined for th...

Introduction The usual management of moderate to severe pain is based on the use of opioids. Buprenorphine (BPN) is an opioid with an analgesic potency 50 times greater than that of morphine. It is widely used in various pain models and has demonstrated efficacy and safety in adult patients; however, there are insufficient clinical trials in pediatric populations. Purpose The aim of this stud...

In allusion to more indeterminate information and higher speed request characteristic in fault diagnosis system, according to the intelligence complementary strategy, a new fault diagnosis(SWPSO-BPN) model based on combining improved particle swarm optimization (PSO) algorithm and Back-propagation(BP) neural network is proposed in this paper. In the SWPSO-BPN method, an improved PSO (SWPSO) alg...

The parallel-type neuron network (PNN) is researched to improve on the decrease in capabilities of the neuron network by the interference of the learning caused between the outputs of BP network (BPN) of two outputs or more and the difficulty of the common achievement of the middle layer used for each output. The research to compare prediction accuracies of nonlinear time series signals predict...

Though many of the previous studies have been devoted to internal due date assignment in a wafer fabrication factory (wafer fab), very few among them considered the allowance added to a completion time forecast. In this way, the probability of on-time delivery is only about 50%. Methods based on confidence intervals generate completion time forecasts with very wide ranges and are not practical....

In this paper, the notion of crosstalk-free rearrangeability (CFrearrangeability) of multistage interconnection networks (MINs) is formally defined. Using the concept of line digraphs from graph theory, we show that the problem of crosstalk-free routing on any bit permutation network (BPN) is always equivalent to the classical permutation routing problem on a BPN of smaller size and with fewer ...

This paper proposes a hybrid scheme to set the weights initialization and the optimal number of hidden nodes of the backpropagation network (BPN) by applying the loading weights and factor numbers of the partial least-squares (PLS) algorithm. The joint PLS and BPN method (PLSBPN) starts with a small residual error, modi6es the latent weight matrices, and obtains a near-global minimum in the cal...