In the structure of ANFIS, there are two different parameter groups: premise and
consequence. Training ANFIS means determination of these parameters using an …

Particle swarm optimization (PSO) is a stochastic population-based optimization algorithm
inspired by the interactions of individuals in a social world. This algorithm is widely applied …

Modelling the heating load (HL) and cooling load (CL) is the cornerstone of the designing of
energy-efficient buildings, since it determines the heating and cooling equipment …

In the development of an accurate modeling technique for the design of an efficient
machining process, manufacturers must be able to identify the most suitable technique …

Prediction of ultimate pile bearing capacity with the aid of field experimental results through
artificial intelligence (AI) techniques is one of the most significant and complicated problem …

The increased integration of wind power into the electric grid, as it occurs today in Portugal,
poses new challenges due to its intermittency and volatility. Wind power forecasting plays a …

A novel hybrid approach, combining wavelet transform, particle swarm optimization, and
adaptive-network-based fuzzy inference system, is proposed in this paper for short-term …

This paper presents a novel feature selection method to design a non-invasive driver
drowsiness detection system based on steering wheel data. The proposed feature selector …

In this paper, a new method is presented for the training of the Adaptive Neuro-Fuzzy
Inference System (ANFIS). In this work, it is ensured that the best model is created by …

Ground vibration is one of the common environmental effects of blasting operation in mining
industry, and it may cause damage to the nearby structures and the surrounding residents …