The modification or control of a process using its anticipated results or effects.
- 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
- 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.
- Therefore, feedback or feedforward interactions may conceivably occur between different hormones and AOS.
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