3 papers
math.CV2014
Newton's Method Backpropagation for Complex-Valued Holomorphic Multilayer Perceptrons
Diana Thomson La Corte, Yi Ming Zou
The study of Newton's method in complex-valued neural networks faces many difficulties. In this paper, we derive Newton's method backpropagation algorithms for complex-valued holom…
q-bio.MN2014
Boolean Networks with Multi-Expressions and Parameters
Yi Ming Zou
To model biological systems using networks, it is desirable to allow more than two levels of expression for the nodes and to allow the introduction of parameters. Various modeling…
q-bio.QM2014
An Algorithm for Detecting Fixed Points of Boolean Networks
Yi Ming Zou
In the applications of Boolean networks to modeling biological systems, an important computational problem is the detection of the fixed points of these networks. This is an NP-com…