盲自适应多用户检测器只需知道期望用户的扩频码及定时信息 ,就可以实现对多址干扰的有效抑制。本文提出了一种基于 TH ( Tank and Hopfield)神经网络的盲多用户检测器 ,通过采用 TH神经网络来计算检测器的最优权值 ,从而提高了检测器...盲自适应多用户检测器只需知道期望用户的扩频码及定时信息 ,就可以实现对多址干扰的有效抑制。本文提出了一种基于 TH ( Tank and Hopfield)神经网络的盲多用户检测器 ,通过采用 TH神经网络来计算检测器的最优权值 ,从而提高了检测器的收敛速度。仿真实验的结果表明这一方法具有良好的多址干扰抑制能力。展开更多
NP hard problems have appeared in many areas. In this article, it is discussed how to solve this kind of problems using artificial neural network— Hopfield/Tank model, especially the Travelling Salesman Problem (TSP...NP hard problems have appeared in many areas. In this article, it is discussed how to solve this kind of problems using artificial neural network— Hopfield/Tank model, especially the Travelling Salesman Problem (TSP). At first, a stability analysis shows the conditions of the model to converge to the vertices of the hypercube and its relation with the parameters. And then, a HT model for solving TSP is formulated. Some theorems are given to analyze the influence of parameter D on the three subspaces of the connection matrix in which D is set to zero. Based on these analyses, a dynamic analysis of the model is given and a set of parameters′ rules are established. It is indicated that, if the parameters are selected according to these rules, the final solutions are optimal or near optimal. However, the initial noise would have some influences on the final solutions. According to these theories, a 'damping' optimal method is proposed which can not only guarantee the final solutions are high quality, but also weaken the influence of the initial noise. On the other hand, many kinds of modified HT models are summarized and a more simple and effective model is given. Compared with some traditional and modern methods for solving TSP, the performance of our method is very good. Linking with the practice, some applications are exploited. Our method has also been used for programming the posts route of some city in China. Finally, a theoretical analysis is given for com munication network routing problem using HT model. Liu Rong Born in October 1966. He received the Engineering Ph.D in Beijing University Posts and Telecommunications in April 1994.展开更多
文摘盲自适应多用户检测器只需知道期望用户的扩频码及定时信息 ,就可以实现对多址干扰的有效抑制。本文提出了一种基于 TH ( Tank and Hopfield)神经网络的盲多用户检测器 ,通过采用 TH神经网络来计算检测器的最优权值 ,从而提高了检测器的收敛速度。仿真实验的结果表明这一方法具有良好的多址干扰抑制能力。
文摘NP hard problems have appeared in many areas. In this article, it is discussed how to solve this kind of problems using artificial neural network— Hopfield/Tank model, especially the Travelling Salesman Problem (TSP). At first, a stability analysis shows the conditions of the model to converge to the vertices of the hypercube and its relation with the parameters. And then, a HT model for solving TSP is formulated. Some theorems are given to analyze the influence of parameter D on the three subspaces of the connection matrix in which D is set to zero. Based on these analyses, a dynamic analysis of the model is given and a set of parameters′ rules are established. It is indicated that, if the parameters are selected according to these rules, the final solutions are optimal or near optimal. However, the initial noise would have some influences on the final solutions. According to these theories, a 'damping' optimal method is proposed which can not only guarantee the final solutions are high quality, but also weaken the influence of the initial noise. On the other hand, many kinds of modified HT models are summarized and a more simple and effective model is given. Compared with some traditional and modern methods for solving TSP, the performance of our method is very good. Linking with the practice, some applications are exploited. Our method has also been used for programming the posts route of some city in China. Finally, a theoretical analysis is given for com munication network routing problem using HT model. Liu Rong Born in October 1966. He received the Engineering Ph.D in Beijing University Posts and Telecommunications in April 1994.
