The invention discloses a process facility and method capable of carrying out continuous casting blank basis weight based on a neural network method. The facility comprises a continuous casting blanklength, width and thickness real-time measuring device, a continuous casting blank temperature measuring device, a continuous casting blank casting speed measuring device, a tundish liquid face heightand molten steel temperature recording device, a crystallizer size and steel total amount recording device, a continuous casting blank density recognizing module, a continuous casting blank cutting device and a continuous casting blank weight measuring device. The length, the width, the thickness, the temperature and the pulling rate of a continuous casting blank, the tundish liquid face height,the molten steel temperature, the crystallizer steel total amount and other information are recorded at certain intervals, the neural network method is adopted to analyze collected continuous castingmachine and continuous casting blank big data, the influence factor of various continuous casting machine, molten steel and continuous casting blank parameters on the density of the continuous castingblank can be accurately recognized, the accuracy of the weight of the basis weight steel blank can be effectively improved, the yield is improved, and the production cost is effectively reduced.