| 2 | Fuzzy Mapping Network Using Hierarchical Genetically Learning Rules显示文摘This paper presents a novel architecture for the approximate reasoning-based Fuzzy Adap- tive Mapping Network (FAMN). The FAMN includes two components: (a)Fuzzy inference Network,which is composed of a three-layer network according to the structure of employed rules; (b) Rules Learning Adapter, witch is used to adjush the membership function of rules forth the serial genetic algorithm. In particular, unlike other adaptive learning methods, learning is achieved by incor- porating the idea of multiple resolution. The tuning is first implemented forth few rules at the coarsest resolution of input/output variables, then with many rules at the higher resolution until the training precise required is obtained. The 2-D sine function net is constructed as an illustrative example. The remits have shown the proposed learning algorithm has better performance. | WuMeng HeZhenya 等 | 1994 | The Journal of China Universities of Posts and Telecommunications1994，1，1： | 0 |
| 3 | Evolutionary Computation:ao Overview显示文摘Evolutionary computation is a field of simulating evolution on a computer.Both aspects of it ,the problem solving aspect and the aspect of modeling natural evolution,are important.Simulating evolution on a computer results in stochastic optimization techniques that can outperform classical methods of optimization when applied to difficult real-world problems.There are currently four main avenues of research in simulated evolution:genetic algorithms,evolutionary programming,evolution strategies,and genetic programming.This paper presents a brief overview of thd field on evolutionary computation,including some theoretical issues,adaptive mechanisms,improvements,constrained optimizqtion,constrained satisfaction,evolutionary neural networks,evolutionary fuzzy systems,hardware evolution,evolutionary robotics,parallel evolutionary computation,and co-evolutionary models.The applications of evolutionary computation for optimizing system and intelligent information processing in telecommunications are also introduced. | HeZhenya WeiChengjian | 1997 | 通信学报1997，18，3： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员