Abstract:

We established a BP neural network based seawater intrusion degree evaluation model, which included 8 crypticlayer nodes and 3 layers. We trained and tested the neural network with the rank assessment criteria of seawater intrusion degree assessment index as the training and test samples.We further evaluated seawater intrusion degree for Yellow River Mouth. Results show that the simulation result of BP neural network is consistent with the expected result. Seawater intrusion degree at Yellow River Mouth is more serious.

Key words: BP neural network, seawater intrusion, Yellow River Mouth, evaluation