Camouflage Effect Evaluation of Field Depot based on Hybrid Neural Network

Camouflage is an effective measure to improve survivability of the field depot.Genetic algorithm is used to improve BP(Back Propagation) neural network model,the paper analyses the basic thought and practical approach and applies this model to evaluate the effect of the field depot camouflage.The example shows that this model can overcome the influences which are caused by human factor and fuzzy randomness.The evaluation result is more scientific and credible.