This paper presents an empirical study of a formative neural network-based assessment
approach by using mobile technology to provide pharmacy students with intelligent …

One of the distinguishing features of Adaptive Resonance Theory (ART) is that it relies on a
second similarity check, called a vigilance test, to accept or reject a sample into a given …

We present a neural network for real-time learning and mapping of patterns using an
external performance indicator. In a non-stationary environment where new patterns are …

The importance of information retrieval systems is unquestionable in the modern society and
both individuals as well as enterprises recognise the benefits of being able to find …

This paper presents a new application of the snap-drift algorithm [1]: feature discovery and
clustering of speech waveforms from non-stammering and stammering speakers. The …

This work develops a method for incorporation into an on-line system to provide carefully
targeted guidance and feedback to students. The student answers on-line multiple choice …

A novel method for the analysis and interpretation of data that describes the interaction
between trainee network managers and a network management training tool is presented. A …

We present a novel neural network method for the analysis and interpretation of data that
describes user interaction with a training tool. The method is applied to the interaction …

This paper will explore the integration of learning modes into a single neural network
structure in which layers of neurons or individual neurons adopt different modes. There are …

This paper presents two novel neural networks based on snap–drift in the context of self-
organisation and sequence learning. The snap–drift neural network employs modal learning …