Grey Verhulst Model Based on BP Neural Network ...
URL: http://www.ijesci.org/paperInfo.aspx?ID=5987
The grey Verhulst model is optimized by means of BP algorithm,a kind of grey Verhulst forecasting model based on BP neural network optimization is established and is used to oil production forecasting. The Verhulst model is mapped to a BP neural network, the corresponding relation between Verhulst model grey parameters and BP network weights is established. The BP neural network is trained by means of BP algorithm, when the BP network convergences, the optimized weights can be extracted, and the optimized grey Verhulst model based on BP algorithm can be realized. The optimized grey Verhulst is applied for national oil production forecasting, the experiment results show that the method is feasible and effective, compared with other methods, the method precision in this paper is higher.
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Last updated | unknown |
Created | unknown |
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License | Other (Open) |
Created | over 12 years ago |
format | url |
id | 4ea913a0-1dd8-47d1-aa36-fde4b74ff7a0 |
package id | f9509328-2cfc-45aa-b738-31ec0c304569 |
position | 50 |
resource type | file |
revision id | 3cc029bc-18e0-4e7e-a915-3786971d9253 |
state | active |