Patterns of synchrony for feed-forward and auto-regulation feed-forward neural networks [PDF]
We consider feed-forward and auto-regulation feed-forward neural (weighted) coupled cell networks. In feed-forward neural networks, cells are arranged in layers such that the cells of the first layer have empty input set and cells of each other layer receive only inputs from cells of the previous layer.
Manuela A. D. Aguiar +2 more
openaire +5 more sources
Improving the student learning experience through dialogic feed-forward assessment [PDF]
Assessment feedback gains consistently low satisfaction scores in national surveys of student satisfaction, with most concern surrounding its timeliness, quality and effectiveness.
Hill, Jennifer, West, Harry
core +7 more sources
A feed forward neural network approach for matrix computations [PDF]
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.A new neural network approach for performing matrix computations is presented. The idea of this approach is to construct a feed-forward neural network (FNN)
Al-Mudhaf, Ali F
core +8 more sources
On time-delayed and feed-forward transmission line models of the cochlea [PDF]
The mammalian cochlea is a remarkable organ that is able to provide up to 60dB amplification of low amplitude sound with sharp tuning. It has been proposed that in order qualitatively to explain experimental data, models of the basilar membrane impedance
Homer, ME +8 more
core +1 more source
Minimization Algorithm for Training Feed Forward Neural Network [PDF]
In this paper we suggested a new learning rate , which improves the classical Backpropagation algorithm (BP). The derivatation of are based on approximating the error function to the quadratic one in sufficiently small neighborhood for the optimal weight
Khalil K. Abbo, Zena T. yaseen
doaj +1 more source
Feed-forward mortality rate model.
a) Time-dependent C-index stratified vs age (points) and for all ages (line). Results are shown for the feed-mortality mortality rate model (purple), the DJIN network model with a recurrent neural network mortality rate shown in the main results (red ...
Arnold Mitnitski (245051) +3 more
core +1 more source
Feed-Forward Neural Networks for Failure Mechanics Problems
This work addresses an efficient neural network (NN) representation for the phase-field modeling of isotropic brittle fracture. In recent years, data-driven approaches, such as neural networks, have become an active research field in mechanics.
Fadi Aldakheel +2 more
doaj +1 more source
Forward Osmosis Process for the Treatment of Wastewater from Textile Industries
This paper was aimed to study the efficiency of forward osmosis (FO) process as a new application for the treatment of wastewater from textile effluent and the factors affecting the performance of forward osmosis process.
Hasan F. Makki +2 more
doaj +1 more source
Cellular automata simulation of topological effects on the dynamics of feed-forward motifs
Background Feed-forward motifs are important functional modules in biological and other complex networks. The functionality of feed-forward motifs and other network motifs is largely dictated by the connectivity of the individual network components ...
Bonchev Danail G +3 more
doaj +1 more source
Can Relational Feed-Forward Enhance Students’ Cognitive and Affective Responses to Assessment?
Assessment feedback should be an integral part of learning in higher education, but students can find this process emotionally and cognitively challenging.
Jennifer Hill +5 more
doaj +1 more source

