A Hybrid Intelligent CAPP System Based on Neural Indexing Case and Knowledge

A new hybrid reasoning strategy based on case and knowledge is proposed.With the object-oriented case and knowledge representation,variant process planning based on the neural indexing case-based reasoning is realized.Meanwhile,generative process planning based on hierarchical knowledge classification and successive reasoning is achieved.After the overall structure of the CAPP system is presented,building of the neural indexing-models for case-based reasoning and implementation of hybrid reasoning based on case and knowledge are discussed in detail.This system possesses higher efficiency and better quality due to its capability of carrying out both variant analogy and generative creation.