Tech Transfers


Articles listed below give examples of ART-based systems being used outside the CNS department at Boston University.


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Automated categorization of bioacoustic signals: Avoiding perceptual pitfalls (2006)
Categories Topics: Machine Learning, Speech and Hearing, Applications: Biological Classification, Models: ART 2 / Fuzzy ART,
Author(s) Deecke, V.B. | Janik, V.M. |
Abstract Dividing the acoustic repertoires of animals into biologically relevant categories presents a widespread problem in the study of animal sound communication, essential to any comparison of repertoires between contexts, ...

Transformations in machining. Part 1. enhancement of wavelet transformation neural network (WT-NN) combination with a preprocessor (2006)
Categories Topics: Machine Learning, Applications: Industrial Control, Models: ART 2 / Fuzzy ART, Genetic Algorithms,
Author(s) Chen, P. | Tansel, I.N. | Wang, X. | Yenilmez, A. |
Abstract Properly selected transformation methods obtain the most significant characteristics of metal cutting data efficiently and simplify the classification. Wavelet Transformation (WT) and Neural Networks (NN) combination was ...

Transient stability analysis of electric energy systems via a fuzzy ART-ARTMAP neural network (2006)
Categories Topics: Machine Learning, Applications: Network Analysis, Models: ARTMAP, Fuzzy ARTMAP,
Author(s) Ferreira, W.P. | Lotufo, A.D.P. | Minussi C.R. | Silveira, M.D.G. |
Abstract This work presents a methodology to analyze transient stability (first oscillation) of electric energy systems, using a neural network based on ART architecture (adaptive resonance theory), named fuzzy ART-ARTMAP neural ...

Application of a noisy data classification technique to determine the occurrence of flashover in compartment fires (2006)
Categories Topics: Machine Learning, Applications: Other, Models: ART 2 / Fuzzy ART,
Author(s) Lee, E.W.M | Lee, Y.Y. | Lim, C.P. | Tang, C.Y. |
Abstract This paper presents a hybrid Artificial Neural Network (ANN) model that is developed for noisy data classification. The model, named GRNNFA, is a fusion of the Fuzzy Adaptive Resonance Theory (FA) model and the General ...

Modified signal-to-noise: a new simple and practical gene filtering approach based on the concept of projective adaptive resonance theory (PART) filtering method (2006)
Categories Topics: Machine Learning, Applications: Medical Diagnosis,
Author(s) Honda, H. | Takahashi, H. |
Abstract Considering the recent advances in and the benefits of DNA microarray technologies, many gene filtering approaches have been employed for the diagnosis and prognosis of diseases. In our previous study, we developed a new ...

Identification of long-range aerosol transport patterns to Toronto via classification of back trajectories by cluster analysis and neural network techniques (2006)
Categories Topics: Machine Learning, Applications: Chemical Analysis, Models: ART 2-A,
Author(s) Evans, G.J. | Fila, M. | Jervis, R.E. | Khan, B.U.Z. | Owega, S. |
Abstract In this work, back trajectories of air masses arriving in Toronto were classified into distinct transport patterns by cluster analysis and, for the first time, by a neural network (Adaptive Resonance Theory-ART-2a). ...

Classification of intramural metastases and lymph node metastases of esophageal cancer from gene expression based on boosting and projective adaptive resonance theory (2006)
Categories Topics: Machine Learning, Applications: Medical Diagnosis, Models: ART 2 / Fuzzy ART,
Author(s) Aoyagi, K. | Honda, H. | Nakanishi, Y. | Sasaki, H. | Takahashi, H. | Yoshida, T. |
Abstract Esophageal cancer is a well-known cancer with poorer prognosis than other cancers. An optimal and individualized treatment protocol based on accurate diagnosis is urgently needed to improve the treatment of cancer patients. ...

ART 2 - an unsupervised neural network for PD pattern recognition and classification (2006)
Categories Topics: Machine Learning, Applications: Industrial Control, Models: ART 2 / Fuzzy ART,
Author(s) Gopal, S. | Karthikeyan, B. | Venkatesh, S. |
Abstract This paper introduces a method of classifying partial discharges of unknown origin. The innovative trend of using Artificial Neural Network (ANN) towards classification of Partial Discharge (PD) patterns is cogent and ...

Neural networks for animal science applications: Two case studies (2006)
Categories Topics: Machine Learning, Applications: Biological Classification, Models: ART 2 / Fuzzy ART,
Author(s) Fernandez, C. | Martin, J.D. | Serrano, A.J. | Soria, E. |
Abstract Artificial neural networks have shown to be a powerful tool for system modelling in a wide range of applications. In this paper, we focus on neural network applications to intelligent data analysis in the field of animal ...

Cancer diagnosis marker extraction for soft tissue sarcomas based on gene expression profiling data by using projective adaptive resonance theory (PART) filtering method (2006)
Categories Topics: Machine Learning, Applications: Medical Diagnosis,
Author(s) Hasegawa, T. | Honda, H. | Nemoto, T. | Takahashi, H. | Yoshida, T. |
Abstract Background: Recent advances in genome technologies have provided an excellent opportunity to determine the complete biological characteristics of neoplastic tissues, resulting in improved diagnosis and selection of ...

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