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Based on the test data of diesel/natural gas dual-fuel engine, a prediction model of GA-BP neural network was established based on BP neural network and genetic algorithm optimization with engine torque, speed, fuel injection timing, fuel injection pressure, natural gas alternative fuel and excess air coefficient as input parameters, and the brake specific fuel consumption, CO, NOx, THC emissions and soot emission as outputs, and the predication results were compared with test values for verification. The research results show that GA-BP neural network model has better predictive performance than BP neural network model. The Mean Absolute Percentage Error (MAPE) predicted by the GA-BP neural network model for the five output parameters is less than 6%, and the coefficient of determination R2 is greater than 0.97, and the model has high prediction accuracy and generalization ability.
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| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
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