neural nets的意思
neural nets中文翻譯:
神經網絡
neural───adj.神經的;神經系統的;背的;神經中樞的;n.(Neural)人名;(捷)諾伊拉爾
nets───n.帶網眼的窗簾;v.凈賺;用網捕捉;捕獲,抓獲;(將球)踢入球門;用網覆蓋;(使)獲得利益;(net的第三人稱單數);n.(釣魚、捕獲的)網;球網;網罩;練球場(net的復數)
nets roster───網隊名冊
brooklyn nets───布魯克林網
neural networks───神經網絡;類神經網路
owns nets───擁有漁網
fishing nets───魚網;漁網
neural activity───神經活動
neural network───神經網絡;神經式網絡
Neural nets are also supposed to learn.───神經網絡也可假定為可以學習。
Before you read on here, you might want to review an introduction to neural nets.───閱讀這里之前,您可能會希望再讀一遍an introduction to neural nets。
Simplifications can be useful, especially when they serve as a model, in this case, for implementing cybernetic neural nets.───在這個例子中,對于實現控制神經網絡而言,簡化可以是實用的,尤其是當它們被作為模型來使用時。
As for me, I work with neural nets, the implementation of which is greatly simplified by a matrix or two.───對于我來說,我正從事神經網絡的研究而一兩個矩陣可以大大簡化神經網絡的實現。
Is an algorithm that extends the analysis that underpins the delta rule to neural nets with hidden nodes.───這一算法把支持delta規則的分析擴展到了帶有隱藏節點的神經網絡。
His interests include grid computing, neural nets, and artificial intelligence.───他的興趣包括網格計算、神經網絡和人工智能。
Some problems are good for neural nets; we know that others, neural nets are hopeless on them.───有些問題可以用神經網路去解決;但我知道,在某些方面神經網路是沒有用處的。
For example, much of the work in Artificial Intelligence and neural nets would benefit from a closer connection with biological life.───舉例說明,人工智能與神經元網絡方面的研究可以得益于與生物生命親密聯系方面的研究。
In recent years, the artificial neural nets which applied in the research of PK/PD provide a possible way to solve the problems above.
Artificial Neural Nets became a hot topic in research on Artificial Intelligence in the 1980s.
Neural nets can learn rule structures and patterns on their own from historical data or through experience.
For neural nets and genetic algorithms, it is not so much fallible as crude.
An artificial neural nets based on-line implementation to enhance power system transient stability by reconstruction is studied.
Unlike less sophisticated Al, neural nets do not require that elaborate rule structures be specified in advance.
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).
One could conclude that neural nets love to do pattern classification.
In all three instances, neural nets were being used to make routine decisions that otherwise would have required human intervention.
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