Description: 本程序用资源分配网(Resource_Allocation Network,简称RAN)实现了Hermit多项式在线学习问题。训练样本产生方式如下，样本数400，每个样本输入Xi在区间[-4,4]内随机产生（均匀分布），相关样本输出为F(Xi) = 1.1(1-Xi + Xi2)exp(-Xi2/2),测试样本输入在[-4，+4]内以0.04为间隔等距产生，共201个样本。训练结束后的隐节点为：11个，训练结束后的平均误差可达：0.03
-this program resources distribution network (Resource_Allocation Network , RAN) to achieve the Hermit polynomial online learning problems. Training samples have the following manner, the number of 400 samples, each sample interval in the importation of Xi [-4, 4] within randomly generated (evenly distributed) sample output related to F (Xi) = 1.1 (1-Xi Xi2) exp (-Xi2 / 2), test samples of the imported [-4, 4] to within 0.04 of equidistant spacing have a total of 201 samples. After the training of hidden nodes : 11, after the end of the training error of up to the average : 0.03 Platform: |
Size: 8070 |
Author:刘波 |
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Description: 本程序用资源分配网(Resource_Allocation Network,简称RAN)实现了Hermit多项式在线学习问题。训练样本产生方式如下，样本数400，每个样本输入Xi在区间[-4,4]内随机产生（均匀分布），相关样本输出为F(Xi) = 1.1(1-Xi + Xi2)exp(-Xi2/2),测试样本输入在[-4，+4]内以0.04为间隔等距产生，共201个样本。训练结束后的隐节点为：11个，训练结束后的平均误差可达：0.03
-this program resources distribution network (Resource_Allocation Network , RAN) to achieve the Hermit polynomial online learning problems. Training samples have the following manner, the number of 400 samples, each sample interval in the importation of Xi [-4, 4] within randomly generated (evenly distributed) sample output related to F (Xi) = 1.1 (1-Xi Xi2) exp (-Xi2/2), test samples of the imported [-4, 4] to within 0.04 of equidistant spacing have a total of 201 samples. After the training of hidden nodes : 11, after the end of the training error of up to the average : 0.03 Platform: |
Size: 8192 |
Author:刘波 |
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Description: in Multiuser Multicarrier Wireless Systems
Wong, Ian C., Evans, Brian
2008, XVIII, 122 p., Hardcover
ISBN: 978-0-387-74944-0
Resource Allocation in Multiuser Multicarrier Wireless Systems proposes a unified algorithmic framework based on dual optimization techniques that have complexities that are linear in the number of subcarriers and users, and that achieve negligible optimality gaps in standards-based numerical simulations. Adaptive algorithms based on stochastic approximation techniques are also proposed, which are shown to achieve similar performance with even much lower complexity
Platform: |
Size: 1701888 |
Author:moddyy |
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Description: D2D用户通信是资源分配仿真模拟程序，D2D功率分配，D2D通信仿真(D2D user communication is a resource allocation simulation program, D2D power allocation, D2D communication simulation.) Platform: |
Size: 3072 |
Author:1066874190 |
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