Knowing about future values and trend of stock market has attracted a lot of attention by researchers, investors, financial experts and brokers. The benefits of having a good estimation of the stock market behavior are well-known, minimizing the risk of the investment and maximizing the profits. In recent years, mathematical and computational models from artificial intelligence have been used f...

This paper presents a concept of platoon movement of autonomous vehicles (smart cars). To be able to do research to the stability of an AGV string, a car-following model is being determined. To do this, first a single vehicle is modeled and since all cars in the platoon have the same dynamics, the single vehicle model is copied ten times. To control this string, equal P(I)D controllers are appl...

Abstract This study investigated the predicted cutting force model of a turning operation for Al–Si–Cu cast alloy modified with modifiers based on adaptive neuro-fuzzy inference system (ANFIS) approach. Feed rate, speed and Silicon spacing were considered as input parameters. A series experiments conducted at various feed rates speeds. The prediction result showed that ANFIS successfully value ...

In this study we propose a novel monitor hydraulic automatic gauge control (HAGC) system based on fuzzy feedforward controller. This is used in the development of cold rolling mill automation system to improve the quality of cold strip. According to features/ properties of entry steel strip like its average yield stress, width of strip, and desired exit thickness, this controller realizes the c...

Drilling is an hole making process in metal cutting operation performed by extrusion which finds wide application in various industries for manufacturing components using metals and non metals. This process is applied widely in assembly of components or elements, where processing challenges are severe issue such as to maintain surface integrity, ovality, machining time, Metal Removal Rate etc.,...

The present paper discusses on development of fuzzy rule based models (FRBMs) for predicting cutting force and surface roughness in milling operation. The models use TakagiSugeno-Kang-type (TSK-type) fuzzy rule to study the effect of four (input) cutting parameters (cutting speed, feed rate, radial depth of cut and axial depth of cut) on outputs (cutting force and surface roughness). The approp...

In industrial processing, workpiece quality and processing time have recently become important issues. To improve the machining accuracy reduce cutting time, feed rate will a significant impact. Therefore, how to plan dynamic is very important. this study, fuzzy control system for scheduling based on curvature variation proposed. The proposed implemented in actual cutting, verify data an optica...

Drilling of fiber reinforced plastics is necessary in order to assemble complex/intricate composite products. Drilling induced damage leads to high percentage of part rejection and reduced product efficiency and life. The thrust force and torque have been found to be the important factors influencing damage. In the present research endeavor, an attempt has been made to develop a fuzzy rule base...