并对该神经网络模型的学习算法进行了研究，提出了一种自适应并行学习算法。
The learning of the network is also studied and an adaptive parallel learning algorithm is proposed.
对大规模训练样本的支持向量机训练问题进行探索，提出了一种基于正交表的并行学习算法。
Explores the training problems of support vector machine with large training pattern set, and a new parallel algorithm based on orthogonal array is presented.
本文提出了一种利用微机机群来实现并行处理，在并行编程环境P VM中实现BP神经网络的并行学习算法。
In this paper, we proposed a parallel BP neural network learning algorithm with the support of PC cluster under the circumstance of PVM (parallel Virtual Machine).
起源于并行学习算法对数据划分的要求，在对一种现行等分割聚类算法进行改进的基础上，本文提出自己的等分聚类算法。
Rooted in the requirement of data partitioning in parallel learning, we proposed our cluster method by improving a current clustering equally method.
同时，他指出程序员学习并行处理还要知道如何实现与大容量数据库的快速接口。
He added that the new capabilities would also mean that programmers will have to learn how to deal with nearly instant access to large volumes of data.
多核时代已经来临，而他坦言，程序员并没有充分发挥出硬件的潜力，他认为学习多核处理是个不小的挑战，“开发新应用和将现有应用并行处理同同等重要。”
The explosion of new applications will be as significant as existing applications on parallel processing.
重点是要学习必要的技能，制定相应的计划并行动之。
Focus on what you want, learn the required skills, make a plan to succeed and take action.
“设计模式”一书的合著者RalphJohnson谈到了并行编程的宏观结构及其能解决的问题，并向我们介绍如何更好地学习并行编程。
"Design Patterns" co-author Ralph Johnson explains the overall structure of parallel programming, what kinds of problems it solves, and tell you how you can learn more about it.
据百度深度学习研究所所长林远清(音)表示说，百度大脑包括深度学习算法、数据建模、以及一个可以在并行平台上运行的大型GPU。
It includes deep learning algorithms, data modeling, and a massive GPU able to work across parallel platforms, says Lin Yuanqing, director of the Baidu's Institute of deep learning.
BP神经网络是一个优秀的并行数据处理方法，具有暗箱操作性、以及强大的学习能力和推广能力。
The BP neural network was proved to be an excellent parallel data-handling method with dark-box operating performance, powerful studying and generalizing ability.
提出一种并行的决策树学习方法。
A new parallel learning method of the decision tree is proposed in this paper.
改进后的GFMM神经网络完全具备了自适应调整和无师学习的能力，并展现出了良好的并行处理性能。
The improved GFMM neural network possessed the full capability of unsupervised training and self-adapting adjustment, which showed the good ability of parallel disposal.
为了将一般增量学习算法扩展到并行计算环境中，提出一种基于多支持向量机分类器的增量学习算法。
In order to extend common incremental learning algorithms into a parallel computation setting, an incremental learning algorithm with multiple support vector machine classifiers is proposed.
神经元网络启发式的并行、分布特征和可学习性为专家系统的知识表达和获取、不确定性推理提供了新的途径。
The parallelism, distribution and capability of learning of neural net heuristics provide a new way for knowledge acquisition, knowledge representation and uncertainty reasoning in expert systems.
而人工神经网络以其自适应、并行性、非线性、鲁棒性和学习特性被广泛应用于语音识别领域。
ANN is widely used in speech recognition field due to its self adapting, parallelism, non-linearity, robustness and learning ability.
这个领域 有很多术语，例如连接机制、并行分布处理、神经计算、自然智能系统、机器学习算法和人工神经网络。
The field goes by many names, such as connectionism, parallel distributed processing, neuro-computing, natural intelligent systems, machine learning algorithms, and artificial neural networks.
神经网络具有自学习，自适应，并行处理的能力，但结构的选择缺乏理论依据。
Neural network have the abilities of self-learning, adapt and parallel management, but the structural selection lacks academic bases.
神经网络计算机能模拟人脑的并行处理方式，具有惊人的自学习、思维、推理、判断和记忆的功能。
Neutral network computer can simulate human brains in parallel information processing manner, with functions of striking self-learning, thinking, reasoning, judging, and memorizing.
说明：TBB并行库，CPU下开发学习必备资料，很好的学习资料！
TBB parallel libraries, CPU developed under learning essential information, good learning materials!
人工神经网络日渐成为一种重要的分类工具，其最大益处就在于它善于对环境的自适应学习，并且具有并行处理泛化能力。
The manual neural network has become more and more important as a classifier. Learning from the environment adaptively and generalizing were the most advantages of neural network.
这种并行混合学习算法已经在MIMD平台实现了。
This parallel hybrid algorithm hasbeen implemented on an MIMD platform.
它是与外显学习相并行的一种重要的学习方式，由于它的自动性、抗干扰性等特点，使这一学习有时更优于外显学习。
It's an important way of learning as well as explicit learning and it's more powerful than explicit learning because of its automaticity and non-interference.
这种并行混合学习算法已经在多指令流多数据流(MIMD)平台实现。
The parallel hybrid algorithm is implemented on an MIMD Platform.
神经网络则具有非线性映射、自学习能力、分布存储能力及并行处理信息等优点。
The neural networks have many advantages such as nonlinear map, self-learning, distributional memory, parallel processing and so on.
它的潜在并行性及自组织、自适应、自学习的智能特性对于求解多目标优化问题具有巨大的潜力。
Due to its intrinsic parallelism, self-organizing, adaptation and self-learning intelligent properties, evolutionary computation has large potential to solve multiple objectives optimal solutions.
它的潜在并行性及自组织、自适应、自学习的智能特性对于求解多目标优化问题具有巨大的潜力。
Due to its intrinsic parallelism, self-organizing, adaptation and self-learning intelligent properties, evolutionary computation has large potential to solve multiple objectives optimal solutions.
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