大规模并行处理的英文

• mass parallel processing
• massively parallel processing
• mpp

• "大规模"英文翻译    large-scale; extensive; mass ...
• "并行"英文翻译    parallel; pairing; concurren ...
• "处理"英文翻译    deal or cope with
• "大规模并行处理机" 英文翻译 :    mass parallel processor; massively parallel processor; massivelyparallelprocessormpp; mpp
• "大规模并行处理器" 英文翻译 :    mpmassively parallel processor; mpp massively parallel processor
• "大规模并行处理系统" 英文翻译 :    mpp
• "大规模并行处理，海量并行处理" 英文翻译 :    massively parallel processing
• "大规模并行系统" 英文翻译 :    massively-parallel processing system
• "大规模并行计算机系统“神威" 英文翻译 :    i” large-scale parallel computer system shenwei
• "大规模并行人工智能" 英文翻译 :    massive parallel artificial intelligence
• "引入的大规模并行固相克隆法" 英文翻译 :    massively parallel solid-phase cloning
• "并行处理" 英文翻译 :    concurrent proce ing; concurrent processing; concurrent working; concurrentprocessing; overlap processing; overlaproce ing; parallel proce ing; parallel processing; parallel running; pp; processing, concurrent; processing, parallel
• "并行处理机" 英文翻译 :    concurrent proce or; concurrent processor; parallel proce or; parallel processor
• "并行处理器" 英文翻译 :    lian-pfcd16; mpp; parallel processor; processor, parallel
• "拟并行处理" 英文翻译 :    quasi-parallelprocessing
• "大规模并发媒体服务流" 英文翻译 :    the large scale concurrent media service flows
• "【计算机】并行处理。" 英文翻译 :    parallel processing
• "并行处理程序" 英文翻译 :    concurrent processor
• "并行处理单元" 英文翻译 :    parallel processing element
• "并行处理技术" 英文翻译 :    parallel processing technique; parallel processing technology
• "并行处理记号" 英文翻译 :    parallel mode symbol
• "并行处理快报" 英文翻译 :    parallel processing letters
• "并行处理能力" 英文翻译 :    parallel processing capability
• "并行处理特性" 英文翻译 :    parallel behavior
• "并行处理系统" 英文翻译 :    concurrent processing system; parallel processing system

• The configuration gets more complex as we move to a massively parallel processing environment
  当我们转到大规模并行处理（ massively parallel processing ， mpp ）环境时，配置会变得比较复杂。
• Massively parallel processing system ( mpp ) and pc cluster provide distributed - memory environments for parallel solving the generalized eigenvalue problem
  大规模并行处理系统( mpp )和pc机群为并行求解矩阵广义特征值问题提供了分布式存储环境。
• Because the performance of single microprocessor can " t be improved indefinitely due to the limitation of speed and machining technology of chips , so came the massive parallel processors system
  而单处理器计算机系统由于处理器运算性能受限于芯片速度极限和加工工艺极限，不可能无限提高。于是超大规模并行处理系统应运而生。
• Most other scalable architectures , such as massively parallel processing and clustering , require users to tinker with code - - a process that ' s complex and expansive - - before moving their applications
  大多数其它的可扩展结构，如大规模并行处理和集群系统，在转移应用程序之前，需要用户修改程序代码? ?这是一个复杂且费钱的过程。
• The chaotic neural network which combines the features of chaos such as randomicity , going through all over the states and sensibility to initial value with the features of neural network such as large scale parallel of processing , distributing type of message storage , associative memory and robustness is a novel method of associative memory
  将混沌的随机性、遍历性、对初值敏感等特点和神经网络的大规模并行处理、分布式信息存贮、联想记忆、鲁棒性等特点相结合的方法是研究联想记忆的一种新途径。
• Adopting the blurry sort analysis method solves the damage forecasting problem etc . more , and artificial nerve network is a urgeoning marginal and cross subject , so the nonlinear spacious dynamic system conposed by a great deal nerve elements , which possesses re - learning ability , nonlinear , allowing - wrong ability and collateral dealing ability , has prodigious advantage for solving above - mentioned problems
  采用模糊分类分析方法更能解决损伤预测等方面的问题，人工神经网络是一门新兴的边缘和交叉学科，这种由大量神经元互联组成的非线性大规模动力系统所具有的再学习能力、非线性、容错性及大规模并行处理等特点在解决上述问题中有着很大的优势。
• Considering the characters of bp neural network , such as the simple structure , the advisable malleability , self - fitness , self - studying , nonlinear function approximating , the considerable abilities of parallel computing , fault - tolerant and so on , the bp algorithm have been extensively applied to the areas of system modeling , pattern recognition and seismic exploration since 1986 . compared with other algorithms , as the above reasons , the bp algorithm has become the most usual and efficient solutions to the artificial neural networks
  由于人工神经网络中的bp神经网络结构简单，可塑性强，具有良好的自适应、自学习、极强的非线性逼近、大规模并行处理和容错能力等特点，自1986年rumelhart等人提出以来，被广泛应用于系统建模、模式识别、地震勘探等重要领域。而bp算法数学意义明确，步骤分明，是神经网络中最为常用、最有效、最活跃的一种方法。