Neural Networks Based Multiplex Forecasting System of the End-Point of Copper Blow Period

摘要

The neural network and the experiential evaluation method are introduced into the industrial converting process forecast, and a multiplex forecast system is proposed at the end-point of copper blow period in a matte converting process. The fuzzy clustering analysis method is used to identify the number of hidden nodes. Results show that the forecast is highly dependable and capable of providing effective guidance to the production process.