| 1. | Parallelism for model prediction
并行模型预测 |
| 2. | Parallelism for model processing
并行模型处理 |
| 3. | The qualnet kernel and api structure were carefully designed to facilitate development , making it easy for a user to develop custom parallel models
结构经过认真的设计，以便于开发，对于开发定制的并行模型的用户来说非常简单。 |
| 4. | At last , this paper uses the rbf neural network that was optimized by the mentioned parallel model to predict the value of some nonlinear functions and the close of several stocks
最后，本文应用上述并行模型优化的rbf神经网络对非线性函数值以及证券个股收盘价进行预测。 |
| 5. | Basing on the muti - threads parallel model on shered memory , we make some research and test of program parallelization on source code level and intermediate representation level
根据基于共享内存方式的多线程并行模型，对于在源代码级和中间代码级进行程序并行化做了一些研究和实验。 |
| 6. | On this platform this paper adopts the master / slave modal and assigns the data to every computing node to compute . the performance has been provided in the paper
在并行程序的模型上选用了master / slave模型,采用了将训练数据平均分配到各节点机的数据并行方式,建立了本算法的并行模型。 |
| 7. | Especially , this paper analyze the common software design model of np , they are task pipeline model and thread pool model , and gives the advantages and disadvantages individually
特别是在软件并行模型上,分析了两种常用的并行设计模型:任务流水线模型和线程池模型。分析了它们各自的优缺点和适用范围。 |
| 8. | A hybrid algorithm using distributed pga based on the dds model and heuristic method ( 2opt ) for rapid solution of travelling salesperson problem ( tsp ) is presented in chapter 4
第四章主要提出了一种混合分布式并行遗传算法，应用于求解货郎担( tsp )问题。这种混合算法主要由动态种群并行模型和20pt算法组成。 |
| 9. | These questions are the design of the cluster structure based on three front network technologies , building up parallel computing model based on bsp ( bulk synchronous parallel ) model , real - time dynamic load balancing and messages transfer system
它们分别是以三大前沿网络技术为基础的集群网络结构设计、以bsp模型为原型的并行模型的建立、实时动态负载平衡、实时消息传递系统。 |
| 10. | It improves the tsp tour and reverses the order of the sub - tour . the dds method is a combination of global parallelism with coarse grained pga . there is however no migration operator as such , because the whole population is treated during the evolution as a single collection of individuals
动态种群模型是一种由全局并行模型和粗粒度并行模型结合而成的并行遗传算法模型，但它并没有迁移操作，因为在进化过程中种群仅仅被当作是个体的集合。 |
