Cargando…
Perspectives of Neural-Symbolic Integration
The human brain possesses the remarkable capability of understanding, interpreting, and producing language, structures, and logic. Unlike their biological counterparts, artificial neural networks do not form such a close liason with symbolic reasoning: logic-based inference mechanisms and statistica...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor Corporativo: | |
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2007.
|
| Edición: | 1st ed. 2007. |
| Colección: | Studies in Computational Intelligence,
77 |
| Temas: | |
| Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- Structured Data and Neural Networks
- Kernels for Strings and Graphs
- Comparing Sequence Classification Algorithms for Protein Subcellular Localization
- Mining Structure-Activity Relations in Biological Neural Networks using NeuronRank
- Adaptive Contextual Processing of Structured Data by Recursive Neural Networks: A Survey of Computational Properties
- Markovian Bias of Neural-based Architectures With Feedback Connections
- Time Series Prediction with the Self-Organizing Map: A Review
- A Dual Interaction Perspective for Robot Cognition: Grasping as a "Rosetta Stone"
- Logic and Neural Networks
- SHRUTI: A Neurally Motivated Architecture for Rapid, Scalable Inference
- The Core Method: Connectionist Model Generation for First-Order Logic Programs
- Learning Models of Predicate Logical Theories with Neural Networks Based on Topos Theory
- Advances in Neural-Symbolic Learning Systems: Modal and Temporal Reasoning
- Connectionist Representation of Multi-Valued Logic Programs.