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Neural Network Model for Nickel-Smelting Process by AJER JOURNAL is a document available to read on EtoBox.

What is Neural Network Model for Nickel-Smelting Process about?

This document describes a neural network model for predicting the chemical composition of copper matte in furnaces during the nickel smelting of copper raw materials. The model uses a radial basis function network with 4 input parameters - the rate of sulfide oxidation, metal-containing material flow rate, sandstone consumption, and copper content in previous matte sample. Statistical data from a copper plant furnace is classified and reduced from over 8,000 to 144 samples to train the network. Only two

Author
AJER JOURNAL
Language
EN