Prediction of compressive strength behaviour in RPC with applying an adaptive network-based fuzzy interface system

摘要: Intelligent computing tools such as artificial neural network (ANN) and fuzzy logic approaches are proven to be efficient, when applied individually to a variety of problems. Recently there has been a growing interest in combining both these approaches, and as a result, neuro-fuzzy computing techniques have evolved. This approach has been tested and evaluated in the field of signal processing and related areas. This paper presents the application of an adaptive neuro fuzzy inference system (ANFIS) to predict compressive strength behaviour of ultra high strength (UHSC) concrete specially Reactive Powder Concrete (RPC) considering mix design and curing conditions.