Stem feedforward$ (all stems)

8 papers:

CHI-2015-GuillonLN #visual notation

Investigating Visual Feedforward for Target Expansion Techniques (MG, FL, LN), pp. 2777–2786.

CHI-2013-VermeulenLHC #execution

Crossing the bridge over norman’s gulf of execution: revealing feedforward’s true identity (JV, KL, EvdH, KC), pp. 1931–1940.

CASE-2011-RakotondrabeAL #2d #automation

Feedforward and IMC-feedback control of a nonlinear 2-DOF piezoactuator dedicated to automated micropositioning tasks (MR, JA, PL), pp. 393–398.

CHI-2005-SadasivanGGD #eye tracking

Use of eye movements as feedforward training for a synthetic aircraft inspection task (SS, JSG, AKG, ATD), pp. 141–149.

ICPR-v2-2002-LiWZ #algorithm #network

Step Acceleration Based Training Algorithm for Feedforward Neural Networks (YL, KW, DZ), pp. 84–87.

ICPR-v3-2002-WongLC #multi #network #recognition #using

Handwritten Digit Recognition Using Multi-Layer Feedforward Neural Networks with Periodic and Monotonic Activation Functions (KWW, CSL, SJC), pp. 106–109.

ICPR-1996-DoeringW #classification #composition #cost analysis #network #set

Feedforward neural networks for Bayes-optimal classification: investigations into the influence of the composition of the training set on the cost function (AD, HW), pp. 219–223.

ICPR-1996-UtschickN #adaptation #network

Bayesian adaptation of hidden layers in Boolean feedforward neural networks (WU, JAN), pp. 229–233.