The Study On The Relationship Of Stock Structure And Operating Performance Of Chinese Listed Company

In this paper, systemic theoretic analysis of the relationship of Stock Structure and operating performance is progressed, based on this, theoretic study and demonstration analysis organic fall together, and the Neural Networks model that can reflect their relationship total and systemic is established. The input variable of the model can reflect the panorama of stock structure, also, it can embodiment other influence factor of company performance. The evaluation target system that can reflect the operating condition of listed companies completely, impersonality and truly is advanced, at the same time, the Best Result weights confirm method is brought forward, thereby, the Fuzzy integrate evaluations method is improved. Using the improved Fuzzy integrate evaluations method can obtain the company operation performance quantity value as the expect output of the Neural Networks. The Neural Networks models is improved, it can simulate the approached function commendably even at the case of the little number of the samples.