When are multi-layer cellular neural networks the same?
Please re-frame your question.
The question is how to characterize whether a multi-layer cellular
neural network is of deep architecture; namely, when can an n-layer
cellular neural network be replaced by an m-layer cellular neural network
for m < n yet still preserve the same output phenomena? From a
mathematical point of view, such characterization involves investigating
whether the topological structure of multiple layers are conjugate.
01 July 2015 9,681 27 View
In a dynamical system, a bifurcation is a period doubling, quadrupling, etc., that accompanies the onset of chaos. It represents the sudden appearance of a qualitatively different solution for a...
14 May 2015 7,488 27 View
Excessive rotation of nodes in node set ErrNodeExcessRotation-Step1
17 August 2021 0 0 View
How to calculate the RMSD values for a MD simulation using MOE?
07 August 2021 0 0 View
20 June 2021 0 0 View
When I tried to energy minimization my system, I got fatal error as below. Fatal error: Atomtype opls_116 not found Although I've already added this line: ; include water #include "oplsaa.ff/spc.itp" to [molecultype] directive in my topology.
16 June 2021 0 0 View
What this unit identifies for the ion exchange capacity ca. 0.92 meq. g-1. I am a newcomer in the membrane area. I just started. I highly appreciate your help
08 May 2021 0 0 View