Abstract Adaptive Network-based Fuzzy Inference Systems (ANFIS) is one of the most well-
known predictions modeling technique utilized to find the superlative relationship between …

Brass and brass alloys are widely employed industrial materials because of their excellent
characteristics such as high corrosion resistance, non-magnetism, and good machinability …

This paper focusses on a hybrid approach based on genetic algorithm (GA) and an adaptive
neuro fuzzy inference system (ANFIS) for modeling the correlation between plasma arc …

This paper presents a review on soft computing-based expert systems developed to
establish input-output relationships of various manufacturing processes. To determine these …

Car-following and lane-changing manoeuvres are the most common driving behaviour on
urban roads and highways. Although these two manoeuvres have been studied extensively …

In this paper, we have applied an Adaptive Neuro-Fuzzy Inference System (ANFIS)
approach to the prediction of workpiece surface roughness for end milling process. A small …

Theoretical studies of peripheral milling and the results of simulating the construction of a 3D
relief of the machined surface have been presented. A digital model of the surface relief …

For computer numerically controlled (CNC) machines to handle online monitoring and
adjustment of machining parameters (MPs) for optimum machining performance, and to …

Analysis of the surface quality of workpiece is one of the major works in machining
operations. Variations of cutting force is an important factor that highly affects the quality of …

In the present-day manufacturing environment, the modeling of a machining process with
the help of statistical and machine learning techniques in order to understand the material …