CN103530686A - Computer application neural network prediction method - Google Patents

Abstract

The invention relates to a computer application neural network prediction method, which belongs to the technical field of a computer. The method comprises the following steps that 1, data is received; 2, a fuzzy mathematical neural network method is adopted for modeling; 3, the modeling data is subjected to tracking; 4, the tracking data is subjected to fuzzy neural network delamination; 5, operation is carried out; 6, prediction is carried out, and results are fed back. The computer application neural network prediction method has the advantages that simplicity and convenience are realized, the operability is high, the prediction effect is good, and the prediction precision is high.

Description

A kind of computer utility neural net prediction method

technical field:

The invention belongs to field of computer technology, particularly a kind of computer utility neural net prediction method.

background technology:

At present, most computers neural net prediction method is complicated, and prediction effect is bad, can not predict well, and operability is not strong.

summary of the invention:

The present invention is directed to the deficiencies in the prior art, a kind of computer utility neural net prediction method is provided.

Comprise the steps:

Step 1, reception data;

The Method Modeling of step 2, employing fuzzy mathematics neural network,

Step 3, the data of modeling are followed the tracks of;

Step 4, the data of following the tracks of are carried out to fuzzy neural network layering;

Step 5, computing;

Step 6, prediction, and feedback result.

Advantage of the present invention: simple, convenient, operability is high, and prediction effect is good, and precision of prediction is high.

embodiment:

The present invention describes by following examples:

A neural net prediction method, comprises the steps:

Step 1, reception data;

The Method Modeling of step 2, employing fuzzy mathematics neural network,

Step 3, the data of modeling are followed the tracks of;

Step 4, the data of following the tracks of are carried out to fuzzy neural network layering;

Step 5, computing;

Step 6, prediction, and feedback result.

Claims (1)

1. a computer utility neural net prediction method, is characterized in that: comprise the steps:

Step 1, reception data;

The Method Modeling of step 2, employing fuzzy mathematics neural network,

Step 3, the data of modeling are followed the tracks of;

Step 4, the data of following the tracks of are carried out to fuzzy neural network layering;

Step 5, computing;

Step 6, prediction, and feedback result.