Articles listed below give examples of ART-based systems being used outside the CNS department at Boston University.
Categories |
Topics:
Robotics,
Applications:
Information Fusion,
Models:
ART 2 / Fuzzy ART, |
Author(s) |
Araujo, R. |
|
Abstract |
Mobile robots must be able to build their own maps to navigate in unknown worlds. Expanding a previously proposed method based on the fuzzy ART neural architecture (FARTNA), this paper introduces a new online method for ... |
|
Categories |
Topics:
Machine Learning,
Applications:
Network Analysis,
Models:
ART 1,
ART 2 / Fuzzy ART,
Self Organizing Maps, |
Author(s) |
Amini, M. |
Jalili, R. |
Shahriari, H.R. |
|
Abstract |
With the growing rate of network attacks, intelligent methods for detecting new attacks have attracted increasing interest. The RT-UNNID system, introduced in this paper, is one such system, capable of intelligent real-time ... |
|
Categories |
Topics:
Image Analysis,
Applications:
Other,
Models:
ART 2 / Fuzzy ART,
Self Organizing Maps, |
Author(s) |
Chen, K.Y. |
Chiu, C.Y. |
Kuo, R.J. |
Su, Y.T. |
Tien, F.C. |
|
Abstract |
In order to overcome some unavoidable factors, like shift of the part, that influence the crisp neural networks recognition, the present study is dedicated in developing a novel fuzzy neural network (FNN), which integrates ... |
|
Categories |
Topics:
Neural Hardware,
Applications:
Other,
Models:
ART 2 / Fuzzy ART, |
Author(s) |
LinaresBarranco, B. |
SerranoGotarredona, T. |
|
Abstract |
This paper presents a very large scale integration (VLSI) implementation of a low-power current-mode fuzzy-adaptive resonance theory (ART) cell. The cell is based on a compact new current source multibit memory cell with ... |
|
Categories |
Topics:
Neural Hardware,
|
Author(s) |
Atanassov, K. |
Georgiev, K. |
Mengov, G. |
Pulov, S. |
Trifonov, T. |
|
Abstract |
We address the need to develop efficient algorithms for numerical simulation of models, based in part or entirely on adaptive resonance theory. We introduce modifications that speed up the computation of the gated dipole ... |
|
Categories |
Topics:
Machine Learning,
Models:
ART 2 / Fuzzy ART, |
Author(s) |
Liao, Y. |
Pasos, A. |
Vemuri, V.R. |
|
Abstract |
Anomaly detection holds great potential for detecting previously unknown attacks. In order to be effective in a practical environment, anomaly detection systems have to be capable of online learning and handling concept ... |
|
Categories |
Topics:
Machine Learning,
Applications:
Industrial Control,
Models:
ART 1, |
Author(s) |
Haq, A.N. |
Venkumar, P. |
|
Abstract |
Group technology (GT) is a manufacturing philosophy that attempts to reduce production cost by reducing the material handling and transportation cost. The GT cell formation by any known algorithm/heuristics results in much ... |
|
Categories |
Topics:
Machine Learning,
Applications:
Industrial Control,
|
Author(s) |
Klein, R. |
|
Abstract |
A vibrational analysis system diagnosis the health of a mechanical system by reference to vibration signature data from multiple domains. Features are extracted from signature data by reference to pointer locations. The ... |
|
Categories |
Topics:
Machine Learning,
Applications:
Industrial Control,
Models:
ART 2 / Fuzzy ART,
Fuzzy ARTMAP, |
Author(s) |
Babu, V.S. |
Discenzo, F.M. |
Unsworth, P.J. |
|
Abstract |
A system and method is provided for monitoring the operating condition of a pump by evaluating fault data encoded in the instantaneous current of the motor driving the pump. The data is converted to a frequency spectrum ... |
|
Categories |
Topics:
Machine Learning,
Applications:
Human-Machine Interface,
|
Author(s) |
Hoffberg, S.M. |
HoffbergBorghesani, L.I. |
|
Abstract |
An adaptive interface for a programmable system, for predicting a desired user function, based on user history, as well as machine internal status and context. The apparatus receives an input from the user and other data. A ... |
|