Explore Feedforward through 9 example sentences from English, with an explanation of the meaning. Ideal for language learners, writers and word enthusiasts.
Feedforward in a sentence
Feedforward meaning
An anticipatory response to expected changes in the environment of a system
Using Feedforward
- The main meaning on this page is: An anticipatory response to expected changes in the environment of a system
- In the example corpus, feedforward often appears in combinations such as: deep feedforward, feedforward neural, feedforward connections.
Context around Feedforward
- Average sentence length in these examples: 25.2 words
- Position in the sentence: 6 start, 2 middle, 1 end
- Sentence types: 9 statements, 0 questions, 0 exclamations
Corpus analysis for Feedforward
- In this selection, "feedforward" usually appears near the start of the sentence. The average example has 25.2 words, and this corpus slice is mostly made up of statements.
- Around the word, deep, electrical, strong, neural, connections and device stand out and add context to how "feedforward" is used.
- Recognizable usage signals include a deep feedforward multilayer perceptron and a deep feedforward neural network. That gives this page its own corpus information beyond isolated example sentences.
- By corpus frequency, "feedforward" sits close to words such as aakash, aanholt and aardwolf, which helps place it inside the broader word index.
Example types with feedforward
The same corpus examples are grouped by length and sentence type, making it easier to see the contexts in which the word appears:
AIfES currently contains a neural network with a feedforward structure that also supports deep neural networks. (16 words)
They used a low-noise amplifier that is based on a four-wave mixing process to replace the electrical feedforward device. (21 words)
It receives strong feedforward connections from V1 (direct and via the pulvinar) and sends strong connections to V3, V4, and V5. (21 words)
Due to the inability of feedforward Neural Networks to model temporal dependencies, an alternative approach is to use neural networks as a pre-processing e.g. feature transformation, dimensionality reduction, citation for the HMM based recognition. (36 words)
The main categories of networks are acyclic or feedforward neural networks (where the signal passes in only one direction) and recurrent neural networks (which allow feedback and short-term memories of previous input events). (34 words)
Deep Feedforward and Recurrent Neural Networks main A deep feedforward neural network (DNN) is an artificial neural network with multiple hidden layers of units between the input and output layers. (30 words)
Example sentences (9)
Deep Feedforward and Recurrent Neural Networks main A deep feedforward neural network (DNN) is an artificial neural network with multiple hidden layers of units between the input and output layers.
They used a low-noise amplifier that is based on a four-wave mixing process to replace the electrical feedforward device.
AIfES currently contains a neural network with a feedforward structure that also supports deep neural networks.
Due to the inability of feedforward Neural Networks to model temporal dependencies, an alternative approach is to use neural networks as a pre-processing e.g. feature transformation, dimensionality reduction, citation for the HMM based recognition.
It receives strong feedforward connections from V1 (direct and via the pulvinar) and sends strong connections to V3, V4, and V5.
Ivakhnenko's 1971 paper citation describes the learning of a deep feedforward multilayer perceptron with eight layers, already much deeper than many later networks.
The main categories of networks are acyclic or feedforward neural networks (where the signal passes in only one direction) and recurrent neural networks (which allow feedback and short-term memories of previous input events).
This feedforward mode of operation means that the cerebellum, in contrast to the cerebral cortex, cannot generate self-sustaining patterns of neural activity.
While feedforward connections are mainly driving, feedback connections are mostly modulatory in their effects (Angelucci et al., 2003; Hupe et al., 2001).
Common combinations with feedforward
These word pairs occur most frequently in English texts: