Site suitability problems in renewable energy studies have taken a new turn since the
advent of geographical information system (GIS). GIS has been used for site suitability …

This study compares the performance of standalone adaptive neuro-fuzzy inference system
(ANFIS) and its hybrid with particle swarm optimisation (PSO) in predicting the energy …

Forecasting is a part of statistical modelling that is widely used in various fields because of
its benefits in decision-making. The purpose of forecasting is to predict the future values of …

Adaptive neuro-fuzzy inference system (ANFIS) has gained prominence in solving
engineering problems over the past two decades. It has incredible ability to generalize for …

University campus as a service industry consumes considerable amount of energy, most
especially those with multiple campuses. This study develops four ANFIS models for four …

(1) Background: Forecasting of energy consumption demand is a crucial task linked directly
with the economy of every country all over the world. Accurate natural gas consumption …

Kemajuan dari metode kuantitatif telah mengaburkan batas antar bidang ilmu. Para peneliti
di bidang sosial, ekonomi, sains dan teknologi telah berlomba-lomba dalam …

The adaptive neuro-fuzzy inference system (ANFIS), central composite experimental design
(CCD)-response surface methodology (RSM), and artificial neural network (ANN) are used …

Economic indicators such as Consumer Price Index (CPI) have frequently used in predicting
future economic wealth for financial policy makers of respective country. Most central banks …

The performance of ANFIS (Adaptive Neuro-Fuzzy Inference System) for modelling and
foretell 3-formylchromone's electric modulus conduct was explored. Based on experimental …