In the process of software development and maintenance, software debugging is the most complicated and expensive part. In recent years, automated software fault localization technology has attracted many scholars’ attention, various approaches have been proposed. In this paper, a technique named EGA-BPN is proposed which can provide suspicious locations for fault localization automatically with...

China’s field crops such as cotton, wheat, and tomato have been produced on a large scale, but their cultivation process still adopts more traditional manual fertilization methods, which makes the use of chemical fertilizers in China high causes waste fertilizer resources ecological environmental damage. To address above problems, hybrid optimization genetic algorithms particle swarm (GA–PSO) i...

The Indoor positioning based on the ZigBee received signal strength index has attracted more and researchers’ attention and, due to its low cost, hardware power consumption easy implementation. However, because of multipath effects shadow effects, traditional indoor algorithms cannot obtain good effects. In order improve accuracy positioning, this paper proposes an algorithm annealing (SA) gene...

Given the relative limitations of BP and GA based leaning algorithms, Particle Swarm Optimization (PSO) is proposed to train Artificial Neural Networks (ANN) for the diagnosis of unexplained syncope. Compared with BP and GA based training techniques, PSO based learning method improves the diagnosis accuracy and speeds up the convergence process. Experimental results show that PSO is a robust tr...

the objective of this paper is to develop an artificial neural network (ann) model which can beused to predict temperature rise due to climate change in regional scale. in the present work data recorded overyears 1985-2008 have been used at training and testing steps for ann model. the multilayer perceptron(mlp) network architecture is used for this purpose. three applied optimization methods a...

Suspended particles have deleterious effects on human health and one of the reasons why Tehran is effected is its geographically location of air pollution. One of the most important ways to reduce air pollution is to predict the concentration of pollutants. This paper proposed a hybrid method to predict the air pollution in Tehran based on particulate matter less than 10 microns (PM10), and the...

Soil nutrient prediction has been eliciting increasing attention in agricultural production. Backpropagation (BP) neural networks have demonstrated remarkable ability many scenarios. However, directly utilizing BP soil may not yield promising results due to the random assignment of initial weights and thresholds tendency fall into local extreme points. In this study, a network model optimized b...