Abstract In this paper, a BP neural network model with 5-9-6 structure is constructed according to various fault gases and different types of drilling fluid. On the basis model, genetic algorithm gray wolf are used optimize threshold weight network. By applying system Horizontal Well Changshen #5 on site Grey Wolf algorithm, lost circulation problem in horizontal section reservoir was effective...

The paper investigates the powerful of hybridizing two computational intelligence methods viz., Gray Wolf Optimization (GWO) and Artificial Neural Networks (ANN) for prediction of heart disease. Gray wolf optimization is a global search method while gradient-based back propagation method is a local search one. The proposed algorithm implies the ability of ANN to find a relationship between the ...

PM2.5 is one of the main factors air pollution, so prediction great significance. For this reason, innovation priority discrete nonlinear gray model based on wolf optimization algorithm established, which principle in system principle. Try to optimize model, and use solve parameters. First, basic theory proposed. On basis, used improve cumulative generation sequence, with parameters defined. Fi...

Since gray wolf reintroduction in 1995, wolf populations in the northern Rocky Mountains have increased dramatically. Incidents of wolf predation on livestock have increased with wolf populations. Although rough tallies of livestock death or injury losses caused by wolf predation are made each year, we know almost nothing about the indirect effects of wolf-livestock interactions on cattle produ...

The conservation of gray wolf (Canis lupus) and its coexistence with humans presents a challenge and requires continuous monitoring and management efforts. One of the non-invasive methods that produces high-quality wolf monitoring datasets is camera trapping. We present a novel monitoring approach where camera traps are positioned on wildlife crossing structures that channel the animals, thereb...

We used rendezvous site locations of wolf (Canis lupus) packs recorded during 1996–2006 to build a predictive model of gray wolf rendezvous site habitat in Idaho, USA. Variables in our best model included green leaf biomass (Normalized Difference Vegetation Index), surface roughness, and profile curvature, indicating that wolves consistently used wet meadow complexes for rendezvous sites. We th...