PHP Implementation of a Comprehensive Evaluation Platform for Innovative Talent Training Quality based on Internet Data Clustering and Integration

PHP implementation of the comprehensive evaluation platform for innovative talent training quality based on Internet data clustering and integration is studied in the paper. The feature space reorganization technology is combined to reorganize the industrial Internet abnormal dataset structure and obtain the active defense control and detection of industrial Internet abnormal data through fuzzy feature matching and neural network control. The unified data platform adopts a distributed, multi-layer architecture, which is divided into application layer, platform layer, infrastructure layer, access layer and data source layer from top to bottom. Hence, with this feature, this paper then studies the implementation of a comprehensive evaluation platform. The performance is then tested under different aspects.