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基于粒子群优化的条件概率神经网络Particle Swarm Optimization Based Algorithm for Conditional Probability Neural Network Learning
年龄估计, 标签分布学习, 条件概率神经网络, 粒子群优化Age Estimation, Label Distribution Learning, Conditional Probability Neural Network, Particle Swarm Optimization
《Artificial Intelligence and Robotics Research》, Vol.5 No.1, 2016-03-30
Conditional probability neural network (CPNN) has special advantage in pattern classification problems. However, how to find the optimal parameters of the CPNN to achieve better perfor-mance is an extraordinary challenge. Considering the structure feature of CPNN, we proposed a new training method based on particle swarm optimization (PSO). This method utilizes PSO to optimize the structure of CPNN and label distributions by introducing Hellinger distance between different label distributions. We applied the improved CPNN on facial age estimation. The experimental results showed that this network could increase recognition accuracy significantly.