An RBF Network Alternative for a Hybrid Architecture
نویسندگان
چکیده
| Although our previous model CLARION has shown some measure of success in reactive sequential decision making tasks by utilizing a hybrid architecture which uses both procedural and declarative learning, it suuers from a number of problems because of its use of back propagation networks. CLARION-RBF is a more parsimonious architecture that remedies some of the problems exhibited in CLARION by utilizing RBF Networks. CLARION-RBF is also capable of learning reactive procedures, and can have high level symbolic knowledge extracted and applied.
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