This paper presents a guaranteed method for the parameter estimation of nonlinear models in a bounded-error context. This method is based on functions which consists of the differ...
J. M. Bravo, T. Alamo, M. J. Redondo, Eduardo F. C...
Effective backpropagation training of multi-layer perceptrons depends on the incorporation of an appropriate error or objective function. Classification-based (CB) error functions ...
Abstract. The aim of this paper is to explore some features of the functional test generation problem, and on the basis of the gained experience, to propose a practical method for ...
Eduardas Bareisa, Vacius Jusas, Kestutis Motiejuna...
— The paper addresses software and firmware implementation of multiple-output Boolean functions based on cascades of Look-Up Tables (LUTs). A LUT cascade is described as a means ...
In this paper we present an attack to the BLOKE and BRAKE hash functions, which are weakened versions of the SHA-3 candidate BLAKE. In difference to BLAKE, the BLOKE hash functio...