Remote sensing of forest change using artificial neural networks
S Gopal, C Woodcock - IEEE Transactions on Geoscience and …, 1996 - ieeexplore.ieee.org
A prolonged drought in the Lake Tahoe Basin in California has resulted in extensive conifer
mortality. This phenomenon can be analyzed using (multitemporal) remote sensing data …
mortality. This phenomenon can be analyzed using (multitemporal) remote sensing data …
[HTML][HTML] Gaussian ARTMAP: A neural network for fast incremental learning of noisy multidimensional maps
JR Williamson - Neural networks, 1996 - Elsevier
A new neural network architecture for incremental supervised learning of analog
multidimensional maps is introduced. The architecture, called Gaussian ARTMAP, is a …
multidimensional maps is introduced. The architecture, called Gaussian ARTMAP, is a …
Classification of cardiac arrhythmias using fuzzy ARTMAP
FM Ham, S Han - IEEE Transactions on Biomedical …, 1996 - ieeexplore.ieee.org
The authors have investigated the QRS complex, extracted from electrocardiogram (EGG)
data, using fuzzy adaptive resonance theory mapping (ARTMAP) to classify cardiac …
data, using fuzzy adaptive resonance theory mapping (ARTMAP) to classify cardiac …
The hippocampus and cerebellum in adaptively timed learning, recognition, and movement
S Grossberg, JWL Merrill - Journal of Cognitive Neuroscience, 1996 - direct.mit.edu
The concepts of declarative memory and procedural memory have been used to distinguish
two basic types of learning. A neural network model suggests how such memory processes …
two basic types of learning. A neural network model suggests how such memory processes …
Order of search in Fuzzy ART and Fuzzy ARTMAP: Effect of the choice parameter
This paper focuses on two ART architectures, the Fuzzy ART and the Fuzzy ARTMAP. Fuzzy
ART is a pattern clustering machine, while Fuzzy ARTMAP is a pattern classification …
ART is a pattern clustering machine, while Fuzzy ARTMAP is a pattern classification …
On the validity of simulating stagewise development by means of PDP networks: Application of catastrophe analysis and an experimental test of rule-like network …
This article addresses the ability of Parallel Distributed Processing (PDP) networks to
generate stagewise cognitive development in accordance with Piaget's theory of cognitive …
generate stagewise cognitive development in accordance with Piaget's theory of cognitive …
Observations and problems applying ART2 for dynamic sensor pattern interpretation
JR Whiteley, JF Davis, A Mehrotra… - IEEE Transactions on …, 1996 - ieeexplore.ieee.org
This paper discusses characteristics of the ART2 (adaptive resonance theory) information
processing model which emerge when applied to the problem of interpreting dynamic …
processing model which emerge when applied to the problem of interpreting dynamic …
An ART-based modular architecture for learning hierarchical clusterings
G Bartfai - Neurocomputing, 1996 - Elsevier
This paper introduces a neural architecture (HART for “Hierarchical ART”) that is capable of
learning hierarchical clusterings of arbitrary input sequences. The network is built up of …
learning hierarchical clusterings of arbitrary input sequences. The network is built up of …
[图书][B] Distributed activation, search, and learning by ART and ARTMAP neural networks
GA Carpenter - 1996 - Citeseer
Adaptive resonance theory (ART) models are being used for learning and prediction in a
wide variety of applications. Winner-take-all coding allows these networks to maintain stable …
wide variety of applications. Winner-take-all coding allows these networks to maintain stable …
A modified ART 1 algorithm more suitable for VLSI implementations
T Serrano-Gotarredona, B Linares-Barranco - Neural Networks, 1996 - Elsevier
This paper presents a modification to the original ART 1 algorithm (Carpenter and
Grossberg, 1987a, A massively parallel architecture for a self-organizing neural pattern …
Grossberg, 1987a, A massively parallel architecture for a self-organizing neural pattern …