Abstract: A method and a system for end-to-end modeling are provided. The method includes: determining a topological structure of a target-based end-to-end model, where the topological structure includes an input layer, an encoding layer, an code enhancement layer, a filtering layer, a decoding layer and an output layer; the code enhancement layer adds information of a target unit to a feature sequence outputted by the encoding layer, the filtering layer filters a feature sequence added with the information of the target unit collecting multiple pieces of training data; and training parameters of the target-based end-to-end model by using the multiple pieces of the training data.

Abstract: Disclosed are a supported hybrid chromium-based catalyst comprising a porous inorganic support, at least one inorganic oxide Cr active site (A), and at least one organic Cr active site (B), wherein the at least one inorganic oxide Cr active site (A) and the at least one organic Cr active site (B) are both supported on the porous inorganic support, processes for producing the supported hybrid chromium-based catalyst and processes for producing ethylene homopolymers and/or ethylene copolymers using the catalysts of the present disclosure.