Fuzzy parameter adaptation in optimization: some neural net training examples

摘要

Parameters of certain neural net training algorithms and classification procedures are often chosen or adapted using heuristics that contain fuzzy descriptors. Such heuristics, quantified into a fuzzy inference engine, can take the human out of the loop and provide for faster convergence or improved performance. Other applications, outside of neural nets, are also possible.