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A Letter on Convergence of In-Parameter-Linear Nonlinear Neural Architectures with Gradient Learnings.
Ivo Bukovsky
Gejza Dohnal
Peter Mark Benes
Kei Ichiji
Noriyasu Homma
Published in:
CoRR (2021)
Keyphrases
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gauss seidel
neural architectures
convergence speed
neural models
linear systems
nonlinear optimization problems
neural network
nonlinear models
nonlinear functions
convergence rate
linear model
differential evolution
neural model
experimental data
weight update
edge detection
computational intelligence