Bayesian MLP neural networks are a flexible tool in complex nonlinear problems. The approach is complicated by need to evaluate integrals over high-dimensional probability distri...
—We address the issue of power-controlled shared channel access in future wireless networks supporting packetized data traffic, beyond the voice-oriented continuous traffic prima...
This paper presents an extension of Bayesian networks (BN) applied to reliability analysis. We developed a general methodology for modelling reliability of complex systems based o...
The paper proposes mvTANTs, three-level networks with multiple-valued inputs and binary outputs. These networks are a generalization of binary TANTs (Three level And Not networks...
Fuzzy controllers are designed to work with knowledge in the form of linguistic control rules. But the translation of these linguistic rules into the framework of fuzzy set theory ...