Aiming at the diversity and nonlinearity of the elevator system control target, an effective group method based on a hybrid algorithm of genetic algorithm and neural network is presented in this paper. The genetic alg...Aiming at the diversity and nonlinearity of the elevator system control target, an effective group method based on a hybrid algorithm of genetic algorithm and neural network is presented in this paper. The genetic algorithm is used to search the weight of the neural network. At the same time, the multi-objective-based evaluation function is adopted, in which there are three main indicators including the passenger waiting time, car passengers number and the number of stops. Different weights are given to meet the actual needs. The optimal values of the evaluation function are obtained, and the optimal dispatch control of the elevator group control system based on neural network is realized. By analyzing the running of the elevator group control system, all the processes and steps are presented. The validity of the hybrid algorithm is verified by the dynamic imitation performance.展开更多
Extended cognition is the thesis that vehicles realizing cognitive systems can possibly extend beyond traditional boundaries of brain, skin, or skull. It is a popular thesis because of its counterintuitive consequence...Extended cognition is the thesis that vehicles realizing cognitive systems can possibly extend beyond traditional boundaries of brain, skin, or skull. It is a popular thesis because of its counterintuitive consequence that coupled systems of vehicles of very different entities could form a realizer of one cognitive systems. Popular examples consist of human-handy-systems or human-notebook-systems, and it is a thesis that could non-dogmatically decide what individuates the realizers of cognitive systems. But the thesis is in need for individuation-criteria: How could we individuate a coupled system of different systems of vehicles? We inspect some of the usually handled candidates for individuation-criteria and argue that in principal there will be no successful candidate due to methodological problems. We aim to show this by using a cookbook theory of extended cognition and add different types of candidates. No candidate is non-arbitrary or non-intrinsic, which leads the proponent to the forced selection between arbitrary or intrinsic candidates. We argue that without criteria, the talk about extended cognition is a bottomless pit that should only serve as an example for bottomless theory-building.展开更多
基金Supported by National Natural Science Foundation of China (No60874077) Specialized Research Funds for Doctoral Program of Higher Education of China (No20060056054) Research Funds for Scientific Financing Projects of Quality Control Public Welfare Profession (No2007GYB172)
文摘Aiming at the diversity and nonlinearity of the elevator system control target, an effective group method based on a hybrid algorithm of genetic algorithm and neural network is presented in this paper. The genetic algorithm is used to search the weight of the neural network. At the same time, the multi-objective-based evaluation function is adopted, in which there are three main indicators including the passenger waiting time, car passengers number and the number of stops. Different weights are given to meet the actual needs. The optimal values of the evaluation function are obtained, and the optimal dispatch control of the elevator group control system based on neural network is realized. By analyzing the running of the elevator group control system, all the processes and steps are presented. The validity of the hybrid algorithm is verified by the dynamic imitation performance.
文摘Extended cognition is the thesis that vehicles realizing cognitive systems can possibly extend beyond traditional boundaries of brain, skin, or skull. It is a popular thesis because of its counterintuitive consequence that coupled systems of vehicles of very different entities could form a realizer of one cognitive systems. Popular examples consist of human-handy-systems or human-notebook-systems, and it is a thesis that could non-dogmatically decide what individuates the realizers of cognitive systems. But the thesis is in need for individuation-criteria: How could we individuate a coupled system of different systems of vehicles? We inspect some of the usually handled candidates for individuation-criteria and argue that in principal there will be no successful candidate due to methodological problems. We aim to show this by using a cookbook theory of extended cognition and add different types of candidates. No candidate is non-arbitrary or non-intrinsic, which leads the proponent to the forced selection between arbitrary or intrinsic candidates. We argue that without criteria, the talk about extended cognition is a bottomless pit that should only serve as an example for bottomless theory-building.