大家都搜：
神经网络
1、brooklyn nets───布鲁克林网
2、neural network───神经网络；神经式网络
3、owns nets───拥有渔网
4、neural networks───神经网络；类神经网路
5、neural activity───神经活动
6、nets───n.带网眼的窗帘；v.净赚；用网捕捉；捕获，抓获；（将球）踢入球门；用网覆盖；（使）获得利益；（net的第三人称单数）；n.（钓鱼、捕获的）网；球网；网罩；练球场（net的复数）
7、fishing nets───鱼网；渔网
8、neural───adj.神经的；神经XiTong的；背的；神经中枢的；n.(Neural)人名；(捷)诺伊拉尔
9、nets roster───网队名册
1、For example, much of the work in Artificial Intelligence and neural nets would benefit from a closer connection with biological life.───举例说明，人工智能与神经元网络方面的研究可以得益于与生物生命亲密联系方面的研究。
2、Is an algorithm that extends the analysis that underpins the delta rule to neural nets with hidden nodes.───这一算法把支持delta规则的分析扩展到了带有隐藏节点的神经网络。
3、As for me, I work with neural nets, the implementation of which is greatly simplified by a matrix or two.───对于我来说，我正从事神经网络的研究而一两个矩阵可以大大简化神经网络的实现。
4、Some problems are good for neural nets; we know that others, neural nets are hopeless on them.───有些问题可以用神经网路去解决；但我知道，在某些方面神经网路是没有用处的。
5、Before you read on here, you might want to review an introduction to neural nets.───阅读这里之前，您可能会希望再读一遍an introduction to neural nets。
6、His interests include grid computing, neural nets, and artificial intelligence.───他的兴趣包括网格计算、神经网络和人工智能。
7、Neural nets are also supposed to learn.───神经网络也可假定为可以学习。
8、Simplifications can be useful, especially when they serve as a model, in this case, for implementing cybernetic neural nets.───在这个例子中，对于实现控制神经网络而言，简化可以是实用的，尤其是当它们被作为模型来使用时。
1、For neural nets and genetic algorithms, it is not so much fallible as crude.
2、In all three instances, neural nets were being used to make routine decisions that otherwise would have required human intervention.
3、Unlike less sophisticated Al, neural nets do not require that elaborate rule structures be specified in advance.
4、An artificial neural nets based on-line implementation to enhance power system transient stability by reconstruction is studied.
5、One could conclude that neural nets love to do pattern classification.
6、Artificial Neural Nets became a hot topic in research on Artificial Intelligence in the 1980s.
7、The first step toward understanding neural nets is to abstract from the biological neuron, and to focus on its character as a threshold logic unit (TLU).
8、In recent years, the artificial neural nets which applied in the research of PK/PD provide a possible way to solve the problems above.
9、Neural nets can learn rule structures and patterns on their own from historical data or through experience.