"receptive network" is correct and usable in written English.
You can use it to refer to a type of learning algorithm which is able to understand different stimuli or aspects of a given situation. For example, "The neural network had a receptive capacity which enabled it to respond to complex inputs."
Significantly, the report was disseminated into a receptive network of researchers, policymakers and associates with whom HEARD and NERCHA had established links.
*p <.05 **p <.01 ***p <.001 The composite value 'Receptivity to limited dataset' was negatively correlated with 'Total use' (rho = -0.46, p < 0.05), suggesting that the more data sources currently used by the team, the less receptive network teams are to a new dataset.
This paper describes the structure of the Image Receptive Fields Neural Network (IRF-NN) introduced recently by our team.
The study also noted that "users seemed more receptive to social network advertising than they were in 2008, with 9% saying that they always look at ads and often click through, compared with just 2% last year".
To easily test the effect of intrinsic connectivity with the lobula plate network on receptive field properties, all cells could be connected or disconnected from each other by a single command.
Based on spiking neuron models and different receptive field models, hierarchical networks are proposed to process visual stimuli, in which multiple overlapped objects are represented by different orientation bars.
Realizing that the ABC-UPT deal put DuMont on life support, network officials were receptive to a merger offer from ABC. Goldenson quickly brokered a deal with Ted Bergmann, DuMont's managing director, under which the merged network would have been called "ABC-DuMont" until at least 1958 and would have honored all of DuMont's network commitments.
We found that the elaborations of the receptive field caused by the network connectivity changes the rotational action fields in only a negligible way, but strongly reduces the overall amplitude of the neurons' translational action field.
"All of my clients are extremely receptive to these regional sports networks, and the moves they are making will not fall on deaf ears".
In the heart of our proposed architecture, three different types of convolutional layers are simultaneously coalesced in a residual fashion and stacked it into an encoder-type network for altering the receptive field.
The taxonomy of the resulting information granules relates to the format of the activation functions of the receptive fields used in RBF neural networks.
