| 摘要 |
<p>A method for converting a quantity of input data to output data of lesser dimension. A linear principal component analysis technique is applied to the input data to generate a plurality of linear principal components and an error signal. The error signal is input to a first neural network which outputs at least one variable, the said at least one variable is input to a second neural. network and the first and second neural networks are configured such that the output of the second neural network is substantially equal to the input to the first neural network. The output data is represented by the said plurality of linear principal components and the said at least one variable. There is also provided a method of dynamically modelling a paper manufacturing plant comprising derivation of a function which takes as input a plurality of parameters of said paper manufacturing plant which have been reduced in dimension and outputs a value indicative of a quality of paper output from the paper manufacturing plant.</p> |
