Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
Neurocomputations in Relational Systems
IEEE Transactions on Pattern Analysis and Machine Intelligence
Information filtering and information retrieval: two sides of the same coin?
Communications of the ACM - Special issue on information filtering
Developments and applications of the self-organizing map and related algorithms
Mathematics and Computers in Simulation - Special issue: signal processing and neural networks
Self-organizing maps
A comparison of collocation-based similarity measures in query expansion
Information Processing and Management: an International Journal
Mixtures of probabilistic principal component analyzers
Neural Computation
Neural Computation
Adaptive information filtering using evolutionary computation
Information Sciences: an International Journal - Special issue on frontiers in evolutionary algorithms
Websom for Textual Data Mining
Artificial Intelligence Review - Special issue on data mining on the Internet
Information Processing and Management: an International Journal
A similarity-based bidirectional approximate reasoning method for decision-making systems
Fuzzy Sets and Systems
Connectionist inference models
Neural Networks
Nonmonotonic reasoning for adaptive information filtering
ACSC '01 Proceedings of the 24th Australasian conference on Computer science
Fuzzy Sets and Systems
Belief revision and possibilistic logic for adaptive information filtering agents
ICTAI '00 Proceedings of the 12th IEEE International Conference on Tools with Artificial Intelligence
Interpretation of self-organizing maps with fuzzy rules
ICTAI '00 Proceedings of the 12th IEEE International Conference on Tools with Artificial Intelligence
Neural Networks: A Comprehensive Foundation (3rd Edition)
Neural Networks: A Comprehensive Foundation (3rd Edition)
A comparative study on similarity-based fuzzy reasoning methods
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A survey of fuzzy clustering algorithms for pattern recognition. II
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
An inference network for bidirectional approximate reasoning basedon an equality measure
IEEE Transactions on Fuzzy Systems
Self organization of a massive document collection
IEEE Transactions on Neural Networks
Fuzzy neural networks with reference neurons as pattern classifiers
IEEE Transactions on Neural Networks
`Neural-gas' network for vector quantization and its application to time-series prediction
IEEE Transactions on Neural Networks
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Similarity measuring is one substantial part in self-organizing maps (SOM) for its direct influence on the mapping results. The common used similarity measuring method - Euclidean distance cannot always express the exact similarity. In this paper, a novel adaptive self-organized maps based on bidirectional approximate reasoning (ASOMBAR) is proposed to improve the competitive and cooperative process based on the similarity measuring. Unlike the SOM, the proposed ASOMBAR employs the novel fuzzy similarity distance and fuzzy matching criterion to replace the Euclidean distance and original matching criterion, respectively. The fuzzy similarity distance describes the similarity relation more precisely than the Euclidean distance does. The fuzzy matching criterion pays more attention on the large weighted elements and less emphasis on the small weighted elements. Moreover, the new compatible topological neighborhood is also modified basing on the new fuzzy similarity distance and fuzzy matching criterion. Since the ASOMBAR network is self-organizing, the weights of the networks change adaptively according to the input changes. Compared with the well-known growing neural gas (GNG) and SOM, ASOMBAR (when @l=0.5) converges quicker to a smaller distortion error. An information filtering example is used to show the effectiveness of ASOMBAR.