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E B Reátegui

Publications and source records attributed to E B Reátegui.

3 recordsLinked to original sources

Hybrid systems: a promising solution for better decision support tools.

This paper describes HYCONES II, a tool to enable construction of tightly coupled Hybrid Connectionist Expert Systems to solve classification problems. HYCONES II integrates frames with neural networks in its hybrid knowledge base. Three neural network models (CNM, the Fuzzy ARTMAP, and the Semantic ART - SMART) are available to the knowledge engineer. SMART is a new model, introduced by this research group and based on a combination of two previous models. The validation section compares the performance of these three neural models to solve diagnostic problems in two medical domains. Finally, the present status of this project and its future developments are presented.

Algorithms↗

HYCONES: a hybrid connectionist expert system.

This paper describes HYCONES, a tightly-coupled Hybrid Connectionist Expert System that integrates neural networks with a symbolic approach (frames). The symbolic paradigm provides rich and flexible constructs to describe the domain knowledge, while the connectionist one provides the system with learning capabilities. The paper describes the architecture of the system, focusing on the hybrid aspects of the knowledge base and on its automatic knowledge acquisition technique from a case database. The first validation of the system is presented. At the end, a comparison with related research efforts and future developments are discussed.

Database Management Systems↗

Hycones: a hybrid approach to designing decision support systems.

Hycones II is a tool that facilitates the construction of hybrid connectionist expert systems to solve problems in classification. Hycones II provides a hybrid system that integrates frames with three types of neural network: the "combinatorial" neural model (CNM), the "Fuzzy ARTMAP" model, and the "Semantic ART" (SMART) model, a combination of the CNM and Fuzzy ART-MAP. We will compare the ability of these three models to solve diagnostic problems in two medical domains.

Artificial Intelligence↗