《feedforward》怎以读
英 [fi:d'fɔ:wəd]
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美 ['fɪd'fɔwəd]
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《feedforward》是什么意思
前馈；
英英释义
Feedforward
- Feed forward is a management and communication term, which refers to giving a control impact in a downlink to a subordinate to a person or an organization from which you are expecting an output. A feed forward is not just a pre-feedback, as a feedback is always based on measuring an output and sending respective feedback.
以上来源于:Wikipedia
学习《feedforward》怎么用
词组短语
feedforward control前馈控制
双语例句
用作名词(n.)
- By using a filter the physically unrealizable problem of the feedforward control is realized.
利用滤波器解决了前馈控制的物理不可实现问题。 - In this paper we study the feedforward stream cipher on analysis and design which are two contrary directions.
该文从分析和设计两个不同的角度研究了前馈流密码系统。
权威例句
Training feedforward networks with the Marquardt algorithm.
Multilayer feedforward networks are universal approximators
Multilayer feedforward networks are universal approximators
Training feedforward networks with the Marquardt algorithm. IEEE Trans Neural Netw 5:989-993
Multilayer Feedforward Networks are Universal Approxmations Neural Networks 2 No 5, 359-366
Approximation capabilities of multilayer feedforward networks
Approximation capabilities of multilayer feedforward networks
Understanding the difficulty of training deep feedforward neural networks
Extreme learning machine: a new learning scheme of feedforward neural networks
Universal approximation using incremental constructive feedforward networks with random hidden nodes.
Multilayer feedforward networks are universal approximators
Multilayer feedforward networks are universal approximators
Training feedforward networks with the Marquardt algorithm. IEEE Trans Neural Netw 5:989-993
Multilayer Feedforward Networks are Universal Approxmations Neural Networks 2 No 5, 359-366
Approximation capabilities of multilayer feedforward networks
Approximation capabilities of multilayer feedforward networks
Understanding the difficulty of training deep feedforward neural networks
Extreme learning machine: a new learning scheme of feedforward neural networks
Universal approximation using incremental constructive feedforward networks with random hidden nodes.