The control of matte grade determines the production cost copper smelting process. In this paper, an optimal matte-grade model is established to derive with objective minimizing in whole process smelting. This paper also uses prediction capability BP (Backpropagation) neural network establish a for grade, considering various factors affecting (including input concentrate amount and its composit...

As a key parameter in the adsorption process, removal rate is not available under most operating conditions due to time and cost of experimental testing. To address this issue, evaluation efficiency NH4+ from stormwater by coal-based granular activated carbon (CB-GAC), novel approach, response surface methodology (RSM), back-propagation artificial neural network (BP-ANN) coupled with genetic al...

purpose: to evaluate the efficacy of sub-tenon block (preemptive analgesia) following general anesthesia and before the beginning of scleral buckling and cryopexy in retinal detachment (rd) surgery on decreasing intra- and post-operative complications. methods: sixty eight patients scheduled for rd surgical repair with asa (american society of anesthesiologists) class і or ii were enrolled in t...

BACKGROUND High-grade gliomas (HGGs) express somatostatin receptors (SSTR), rendering them candidates for peptide receptor radionuclide therapy (PRRT). Our purpose was to evaluate the potential of (68)Ga-DOTA-1-Nal(3)-octreotide ((68)Ga-DOTANOC) or (68)Ga-DOTA-Tyr(3)-octreotide ((68)Ga-DOTATOC) to target SSTR subtype 2 (SSTR2) in HGGs, and to study the association between SSTR2 expression and e...

Due to the epidemic, foreclosure, as a special transaction commodity, has also been affected certain extent. This paper uses sample data of foreclosure auctions combined with genetic algorithm multi-layer feedforward neural network apply in forecast market trend. First all, select indicators that affect price fluctuation foreclosed houses, use factor analysis technology reduce dimensionality or...

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...

In this paper artificial neural network (ANN) models were developed to predict the mechanical properties and machinability of Cu–Sn–Pb–Si–Ni– Fe–Zn–Al alloys on the basis of the chemical composition (wt%) of alloying elements. The multi-layer perceptron architecture was used for developing ANN models. Two ANN training approaches, namely, the classical gradient descent back propagation (BP) and ...

A new hybrid method called GA-SVM was proposed which combines GA (Genetic Algorithm) as a feature selection model and SVM (Support Vector Machine) as a regression model. With some modifications to the general GA and SVM models, this method can implement feature selection and activity prediction simultaneously, and its performance can be improved. Two experiments are carried out which indicate i...

The prediction of wind farm output power is considered as an effective way to increase the wind power capacity and improve the safety and economy of power system. It is one of the hot research topics on wind power. The wind farm output power is related to many factors such as wind speed, temperature, etc., which is difficult to be described by some mathematical expression. In this paper, Back P...