An insurance claim settlement intelligent anti-fraud method and system with automatic feature intersection
An intelligent and automatic technology, applied in neural learning methods, data processing applications, instruments, etc., to reduce manpower input, solve cross-feature construction problems, and reduce workload
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[0053] A further description will be given below with reference to the drawings and specific embodiments.
[0054] Such as figure 1 As shown, this embodiment provides an intelligent anti-fraud method for insurance claims with automatic feature crossover, which mainly includes the following steps:
[0055] S1: Single feature construction step, construct a feature library according to different data types;
[0056] S2: feature cross step, perform multi-layer feature cross calculation on the features in the feature library, and construct the weight and offset of each feature;
[0057] S3: Network model construction step, construct parallel cross network and deep neural network on the stacking layer, use the cross network and deep neural network as a combination layer, and then input the entire combination layer into a logits function layer;
[0058] S4: Model training step, using general neural network BP backpropagation algorithm for training, and the cost function uses the following cros...
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