Connectionist models and parallelism in high level vision
Computer Vision, Graphics, and Image Processing
Connectionism and cognitive architecture: a critical analysis
Connections and symbols
Recursive distributed representations
Artificial Intelligence - On connectionist symbol processing
A general framework for parallel distributed processing
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1
Paradigms of Artificial Intelligence: A Methodological and Computational Analysis
Paradigms of Artificial Intelligence: A Methodological and Computational Analysis
Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering
Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering
Hybrid Neural Network and Expert Systems
Hybrid Neural Network and Expert Systems
Connectionist-Symbolic Integration: From Unified to Hybrid Approaches
Connectionist-Symbolic Integration: From Unified to Hybrid Approaches
Intelligent Hybrid Systems
Connectionism in Perspective
Neural Networks and Structured Knowledge: Knowledge Representation and Reasoning
Applied Intelligence
Binary Spatter-Coding of Ordered K-Tuples
ICANN 96 Proceedings of the 1996 International Conference on Artificial Neural Networks
Wissensverarbeitung mit neuronalen Netzen
Grundlagen und Anwendungen der Künstlichen Intelligenz, 17. Fachtagung für Künstliche Intelligenz, Humboldt-Universität zu
Distributed representations and nested compositional structure
Distributed representations and nested compositional structure
Neural Networks and Structured Knowledge: Knowledge Representation and Reasoning
Applied Intelligence
Neural Networks and Structured Knowledge: Rule Extraction andApplications
Applied Intelligence
Content-Based Framework For Component Libraries
Journal of Integrated Design & Process Science
Component retrieval using a synaptic connectivity matrix
PDCAT'04 Proceedings of the 5th international conference on Parallel and Distributed Computing: applications and Technologies
| Hi-index | 0.00 |
This collection of articles is the first of two parts of a special issue on “Neural Networks and StructuredKnowledge.” The contributions to the first part shed some lighton the issues of knowledge representation and reasoning withneural networks. Their scope ranges from formal models formapping discrete structures like graphs or logical formulae ontodifferent types of neural networks, to the construction ofpractical systems for various types of reasoning. In the secondpart to follow, the emphasis will be on the extraction ofknowledge from neural networks, and on applications of neuralnetworks and structured knowledge to practical tasks.