On-Line Learning and Model Improvement with Wave-Nets

The technologicala dvancemenitn the computerc ontrolled systems and other areas in the process induitries makes availablec ontinuottss tream ofdata to be exploitedu tilizing on-line systems environment. This paper investigates procedures for on-line learning and improvement with 'v)ave-nets utilizing such a stream of data. l[/ave-nets are wavelet-based neural networks with localized and hierarc hical multi-resoltttion Iearning. The multi-res oluti o n framework of wave-net and its learning algorithms are briefly explained. Then based on the learning algorithms, pr o c e dur e s for o n- I ine w av e -ne t impr ovements are proposed and the verifications are performed with some case studies The results show effectivenesso f the melhods.

کلیدواژه ها:

Wave-Netso ، nline learning ، n eural networks ، CSTR