摘要
人体的内分泌系统是一个复杂的控制系统,与神经系统、免疫系统一起维持机体的内平衡.受内分泌系统与神经系统的相互作用机制启发,提出一种内分泌系统调节神经网络系统的EMNCS(endocrine modulated neural control system)控制模型.EMNCS模型中,内分泌系统可以根据环境变化动态调节神经网络系统,达到动态控制的目的.把该模型应用于动态环境下的机器人控制系统,实验表明,EMNCS模型能有效提高机器人在动态环境下的适应能力.
The endocrine system in the human body is a complex control system and cooperates with the neural and immune systems to maintain homeostasis.Inspired by the mechanism by which the endocrine system interacts with neural system,an EMNCS（endocrine modulated neural control system） model was proposed in which the artificial endocrine system modulated and artificial neural system.In EMNCS,the endocrine system could modulate the parameters and structures of the neural system in order to achieve dynamic control.The algorithm was applied in the robot system and experimental results show that EMNCS model can improve performance and enhance its adaptability.
基金
国家自然科学基金(60875027)资助
关键词
人工内分泌系统
人工神经网络
机器人
人工智能
计算智能
动态控制
artificial endocrine system
artificial neural network
robot
artificial intelligence
computational intelligence
dynamic control
