Newell (1980; 1990) proposed that cognitive theories be developed in an effort to satisfy
multiple criteria and to avoid theoretical myopia. He provided two overlap** lists of 13 …

Modern radar systems have high requirements in terms of accuracy, robustness and real-
time capability when operating on increasingly complex electromagnetic environments …

Maneuvering vessel detection and tracking (VDT), incorporated with state estimation and
trajectory prediction, are important tasks for vessel navigational systems (VNSs), as well as …

Radar specific emitter identification (SEI) is the process of uniquely identifying an individual
emitter from the same class of radars by their individual properties that arise from hardware …

In many practical applications, new information may emerge from the environment at
different points in time after a classification system has originally been deployed. For …

Abstract Systems for still-to-video face recognition (FR) seek to detect the presence of target
individuals based on reference facial still images or mug-shots. These systems encounter …

Classifiers based on machine learning are usually trained to distinguish between several
known classes. For an electronic intelligence application, however, it is of great importance …

A possible application of neural networks for timely and reliable recognition of radar signal
emitters is investigated. In particular, a large data set of intercepted generic radar signal …

In this paper we investigate further and extend our previous work on radar signal
identification and classification based on a data set which comprises continuous, discrete …

This paper presents three hitherto unused neural network architectures for bankruptcy
prediction in banks. These networks are Group Method of Data Handling (GMDH), Counter …