The modification or control of a process using its anticipated results or effects.
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as modifierfeedforward 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.
前馈
as modifierfeedforward 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