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单词 feedforward
释义

Definition of feedforward in English:

feedforward

nounˈfiːdfɔːwədˌfēdˈfôrwərd
mass noun
  • The modification or control of a process using its anticipated results or effects.

    as modifier feedforward correction capabilities
    Example sentencesExamples
    • Connections that proceed from the sensory periphery to the higher-order areas of the brain that are implicated in more complex processing are known as ascending or feedforward projections.
    • Therefore, feedback or feedforward interactions may conceivably occur between different hormones and AOS.
    • More generally, feedforward with respect to the environment (other performers, for example) implies some predictive model of action in the world.
    • To achieve such a goal requires an understanding of the regulation of photosynthesis in the wider picture of the whole plant and its environment, taking into account feedforward and feedback controls of photosynthesis.
    • Our prediction, then, is that decision optimization should follow a learning curve that is similar to weight modification in feedforward networks with Hebbian learning and prototype learning in recurrent networks
 
 

Definition of feedforward in US English:

feedforward

nounˌfēdˈfôrwərd
  • The modification or control of a process using its anticipated results or effects.

    as modifier feedforward correction capabilities
    Example sentencesExamples
    • To achieve such a goal requires an understanding of the regulation of photosynthesis in the wider picture of the whole plant and its environment, taking into account feedforward and feedback controls of photosynthesis.
    • Connections that proceed from the sensory periphery to the higher-order areas of the brain that are implicated in more complex processing are known as ascending or feedforward projections.
    • More generally, feedforward with respect to the environment (other performers, for example) implies some predictive model of action in the world.
    • Therefore, feedback or feedforward interactions may conceivably occur between different hormones and AOS.
    • Our prediction, then, is that decision optimization should follow a learning curve that is similar to weight modification in feedforward networks with Hebbian learning and prototype learning in recurrent networks
 
 
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更新时间:2025/1/11 13:24:54