The invention discloses a sintered ore chemical component prediction and intelligent control system under small sample poor information. The system comprises a data acquisition module, a data normalization module, a grey entropy module, a support vector machine module, a combination module, an infer module, a sintered ore chemical component prediction module and an intelligent control module. A sintered ore chemical component prediction model is established aiming at high hysteresis quality, nonlinearity and incomplete parameter information in the sintering process by combining a grey entropy-support vector machine operation method, and effectively predict the sintered ore chemical components when the sintering working condition is stable. Experimental results and multi-model comparison show that the sintered ore chemical component prediction and intelligent control system under the small sample poor information accurately predicts the sintered ore chemical components under the condition of the small sample poor information; and the model has the advantages of high prediction precision, few required samples and convenience in operation, and obtains satisfactory results.