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Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
Abstract
This work combines neural networks and fuzzy systems, presenting neural networks as trainable dynamical systems and developing mechanisms and principles of adaption, self-organization, convergence and global stability. It includes the new geometric theory of fuzzy sets, systems and associated memories, and shows how to apply fuzzy set theory to adaptive control and how to generate structured fuzzy systems with unsupervised neural techniques.
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Citations
Cited by
Recurrent neural networks and robust time series prediction
Connor, J. T., Martin, R. D., & Atlas, L. E. (1994) · IEEE Transactions on Neural Networks · doi:10.1109/72.279188 · Cited by 1,316
Soft computing and fuzzy logic
Zadeh, L. A. (1994) · IEEE Software · doi:10.1109/52.329401 · Cited by 788
The Probability Heuristics Model of Syllogistic Reasoning
Chater, N., & Oaksford, M. (1999) · Cognitive Psychology · doi:10.1006/cogp.1998.0696 · Cited by 324
Emotion recognition through facial expression analysis based on a neurofuzzy network
Ioannou, S. V., Raouzaiou, A. T., Tzouvaras, V. A., Mailis, T. P., Karpouzis, K. C., & Kollias, S. D. (2005) · Neural Networks · doi:10.1016/j.neunet.2005.03.004 · Cited by 242
Neural Learning from Unbalanced Data
Murphey, Y. L., Guo, H., & Feldkamp, L. A. (2004) · Applied Intelligence · doi:10.1023/b:apin.0000033632.42843.17 · Cited by 82
Metadata
- Venue
- Choice Reviews Online
- Publisher
- American Library Association
- Published
- 1991-12-01
- Volume
- 29
- Issue
- 04
- Pages
- 29-2151-29-2151
- ISSN
- 0009-4978 (ISSN-L)
- 1523-8253
- OpenAlex
- W1501162218
- Cited by
- 2,314
- References
- 0
- Type
- book review
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence. https://app.cochat.ai/papers/10.5860/choice.29-2151
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- Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence. (1991). Choice Reviews Online. https://doi.org/10.5860/choice.29-2151
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
