Track topics on Twitter Track topics that are important to you
Outlet ferrous ion concentration is an essential indicator to manipulate the goethite process in the zinc hydrometallurgy plant. However, it cannot be measured on-line, which leads to the delay of this feedback information. In this study, a self-adjusting structure radial basis function neural network (SAS-RBFNN) is developed to predict the outlet ferrous ion concentration on-line. First, a supervised cluster algorithm is proposed to initialize the RBFNN. Then, the network structure is adjusted by the developed self-adjusting structure mechanism. This mechanism can merge or divide the hidden neurons according to the distance of the clusters to achieve the adaptability of the RBFNN. Finally, the connection weights are determined by the gradient-based algorithm. The convergence of the SAS-RBFNN is analyzed by the Lyapunov criterion. A simulation for a benchmark problem shows the effectiveness of the proposed network. The SAS-RBFNN is then applied to predict the outlet ferrous ion concentration in the goethite process. The results demonstrate that this network can provide a more accurate prediction than the mathematical model, even under the fluctuating production condition.
This article was published in the following journal.
Name: Neural networks : the official journal of the International Neural Network Society
In this study, Fe-modified goethite with low defects (α-Fe(Fe)OOH) was synthesized and characterized. Results revealed that α-Fe(Fe)OOH is a nano magnetic material with goethite (α-FeOOH) -type str...
Black carbon nanoparticles (nano-BC) are one of the most active components in pyrogenic carbonaceous matter and involve in many biogeochemical processes. This study investigated heteroaggregation of n...
Coprecipitation of Fe and Al (hydr)oxides has been considered a low-cost process to remove As from wastewater. Arsenate is the most stable form of As in aerobic environments such as surface water, soi...
The surface catalysis of goethite on the Cr(VI) reduction by tartaric acid was examined together with its adsorption characteristics towards the two reactants. The results showed the adsorption of tar...
Adsorption of a diverse set of chemicals onto goethite was evaluated by column chromatography. The pH of the effluents was 4.7-5.2. Van der Waals forces dominate the exothermic adsorption of 8 nonpola...
Anemia is the commonest hematological disorder that occurs in pregnancy. According to the recent standard laid down by 'WHO', anemia is present when the Hemoglobin (Hb) concentration in th...
The scope of this study is to compare the efficacy of the new oral formulation of Fe-ASP to oral ferrous sulfate in patients with iron deficiency anemia (IDA) for the restoration of decrea...
130 pregnant women with Iron deficiency anemia, in the 2nd trimester (microcytic hypochromic anemia, hemoglobin range from 9-10.5g/dl, serum ferritin less than 12 ng/ml), from the outpatie...
Anemia in pregnancy is defined by the World Health Organization as hemoglobin levels of ≤ 11 g/dl. Globally, a prevalence rate of 38% was estimated by the World Health Organization for p...
Computer-aided diagnostic software has been used to assist physicians in various ways. Text-based prediction algorithms have been trained on past medical records through data mining and fe...
Process of classifying cells of the immune system based on structural and functional differences. The process is commonly used to analyze and sort T-lymphocytes into subsets based on CD antigens by the technique of flow cytometry.
A prediction of the probable outcome of a disease based on a individual's condition and the usual course of the disease as seen in similar situations.
The prediction or projection of the nature of future problems or existing conditions based upon the extrapolation or interpretation of existing scientific data or by the application of scientific methodology.
Measurable and quantifiable biological parameters (e.g., specific enzyme concentration, specific hormone concentration, specific gene phenotype distribution in a population, presence of biological substances) which serve as indices for health- and physiology-related assessments, such as disease risk, psychiatric disorders, ENVIRONMENTAL EXPOSURE and its effects, disease diagnosis; METABOLIC PROCESSES; SUBSTANCE ABUSE; PREGNANCY; cell line development; EPIDEMIOLOGIC STUDIES; etc.
Predicting the time of OVULATION can be achieved by measuring the preovulatory elevation of ESTRADIOL; LUTEINIZING HORMONE or other hormones in BLOOD or URINE. Accuracy of ovulation prediction depends on the completeness of the hormone profiles, and the ability to determine the preovulatory LH peak.