Abstract
In the rapid development of China's social economy, the credit loan market is also expanding, and with the improvement of scientific research and technology, the market has gradually emerged a large number of credit loan platform. At this time, in order to better protect the small and micro enterprises and individual businesses in the network credit loan platform to obtain the demand for funds, it is necessary to strengthen the practice and development of credit loan risk control research efforts. On the basis of understanding the neural network of long and short periodic memory and according to the characteristic way of obtaining credit data information on the big data platform, this paper builds a data set dimension combinatorial optimization model and studies the final experimental results accordingly.
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