Artificial neural networks

PM Buscema, G Massini, M Breda, WA Lodwick… - … Adaptive Systems Using …, 2018 - Springer
Abstract Artificial Adaptive Systems include Artificial Neural Networks (ANNs or simply
neural networks as they are commonly known). The philosophy of neural networks is to …

Dual channel based speech enhancement using novelty filter for robust speech recognition in automobile environment

J Beh, RH Baran, H Ko - IEEE Transactions on Consumer …, 2006 - ieeexplore.ieee.org
In this paper, a simple and effective dual channel speech enhancement algorithm is
proposed. The proposed algorithm incorporates a novelty filter scheme, performing …

Dynamical behavior of autoassociative memory performing novelty filtering for signal enhancement

H Ko, GM Jacyna - IEEE Transactions on Neural Networks, 2000 - ieeexplore.ieee.org
This paper deals with the dynamical behavior, in probabilistic sense, of a simple perceptron
network with sigmoidal output units performing autoassociation for novelty filtering. Networks …

Neural simulation of Petri nets

SW Chen, CY Fang, KE Chang - Parallel Computing, 1999 - Elsevier
Petri nets and neural networks share a number of analogies. Investigations of their
relationships can be sorted into two categories:(a) the modeling of neural activities with Petri …

[引用][C] Naval Surface Warfare Center, Dahlgren Division Code N5 l (White Oak Laboratory) Silver Spring, Maryland 20903-5000 USA Hanseok Ko and Chein-I Chang …

RH Baran

[引用][C] Signal Detectability Enhancement with Neural Networks

RH Baram, HS Ko, CI Chang - Asia-Pacific Conference on …, 1993 - dbpia.co.kr
ABSTRACT An Adaptive Novelty Filter (ANF) is designed to enhance the detectability of
weak signals added to a statistically stationary or slowly—varying noise background and to …