Research Article

Aquaculture Prediction Model Based on Improved Water Quality Parameter Data Prediction Algorithm under the Background of Big Data

Table 3

Results of water quality prediction model for 20 water quality experiments conducted in different periods and regions.

Data sampleBP modelPCA-BP modelGPCA-BP model
Actual valueEstimateRelative error (%)Actual valueEstimateRelative error (%)Actual valueEstimateRelative error (%)

18.047.98-1.898.027.58-1.127.997.98-0.19
28.049.071.768.038.461.118.018.070.66
38.019.061.768.017.66-1.167.988.060.66
48.039.061.567.768.160.968.018.060.56
57.986.83-1.257.917.53-0.957.997.83-0.25
67.966.90-1.127.997.60-0.727.967.90-0.12
77.986.91-1.567.997.51-0.968.087.91-0.56
88.019.891.458.027.49-0.858.037.890.45
97.989.091.757.968.691.058.088.090.75
107.996.08-1.967.947.08-0.968.038.05-0.66
118.019.101.468.058.360.898.038.100.46
128.049.061.358.018.961.037.978.060.35
137.969.051.657.998.851.158.018.050.65
147.996.90-1.267.947.40-0.867.997.90-0.26
158.076.01-1.468.047.61-0.968.018.01-0.46
168.049.121.568.018.821.068.048.120.56
178.046.97-1.758.017.57-0.758.037.97-0.65
188.069.111.868.018.610.768.018.110.76
198.049.071.658.028.770.858.028.070.65
208.039.131.758.037.63-1.058.018.130.65