The application relates to a neural-network-based prediction method and system. The method comprises: according to a conventional neural network prediction algorithm and a conventional neural network classification algorithm, training data are trained to obtain a prediction model and a classification model respectively; testing data are inputted into the prediction model and the classification model respectively to obtain a prediction result and a classification result respectively; on the basis of an interval relation between the prediction result and the classification result, correctness of the prediction result is determined; after determination of correctness of the prediction result, a prediction result predicted based on the prediction model is outputted. According to the method and system, on the basis of combination and verification of the conventional ANN prediction algorithm and classification algorithm, inconsistent results are screened out and thus the proper prediction model is obtained, thereby improving accuracy of the prediction result; and even though only a few of training samples are provided, determination is carried out by combining the classification result obtained by the classification algorithm, so that precision of the ANN algorithm is improved.