Research on Enterprise Tacit Knowledge Management Performance Appraisal Based on Artificial Neural Networks

摘要

Based on knowledge management theory and performance appraisal methodology, the enterprise tacit knowledge management performance appraisal index system is established, and in view of the neural network structure characteristic, self-adapted and self-taught function, enterprise tacit knowledge management performance appraisal model based on BP neural algorithm is proposed. This model is feasible and suitable in terms of convergence rate, the network adaptability aspect. By using these research results, it can appraise the level of the enterprise tacit knowledge management scientifically, and provide the policy-making basis to correctly instruct enterprise knowledge management development.