The fuzzy adaptive

This paper is aimed to apply hybrid machine learning model namely GA-ANFIS, which is a combination of Adaptive Neuro-Fuzzy Inference System (ANFIS) and Genetic Algorithm (GA), for the prediction of total bearing capability of driven piles.

8p viengfa 28-10-2024 2 1   Download

Adaptive Neuro-Based Fuzzy Inference System (ANFIS) and Particle Swarm Optimization (PSO) algorithms were utilized to produce numerical tools for predicting the bond strength between the concrete surface and carbon fiber reinforced polymer (CFRP) sheets.

11p viengfa 28-10-2024 1 1   Download

This paper aims to propose a design of a type-2 fuzzy cerebellar model articulation controller for uncertain nonlinear systems, which achieves high stability and accuracy for controlling magnetic levitation systems. The proposed controller is a combination of a type 2 fuzzy logic system and a cerebellar model articulation controller.

10p viling 11-10-2024 2 0   Download

In this study, a supervised learning ANFIS model was developed to predict the compressive strength of concrete at 28 days. Data used in training and testing model were collected from a previous study.

13p vifilm 24-09-2024 5 1   Download

The broad aim of this research project is to optimize planned and emergency maintenance tasks and timings for tram tracks. Consistent with that broad aim, the following specific objectives are identified: Understand the factors affecting the degradation of tram tracks; develop a degradation prediction model for tracks as a function of the influencing factors; evaluate the time and type of maintenance required for deteriorated rail tracks.

101p runthenight04 02-02-2023 6 2   Download

Therefore, the paper aimed to provide systematically the system of KPIs adaptable to SMEs, to prioritize the importance of each proposed KPI with the application of a fuzzy analytic hierarchy process (FAHP), and to instruct the comprehensive deployment of the SMEs’ manufacturing performance system.

9p larachdumlanat129 19-01-2021 15 3   Download

In this paper, a Simulink modeling of Active Power Filter was established to reduce the harmonic with high adaptability for kinds of loads. Fuzzy logic controller was used to control the capacitor’s DC voltage of the two level three phases inverter that was designed to work as an Active Filter.

13p lucastanguyen 01-06-2020 44 6   Download

Forecasting stock index has been received great interest because an accurate prediction of stock index may yield benefits and profits for investors, economists and practitioners. The objective of this study is to develop two efficient forecasting models and compare their performances in one day-ahead forecasting the daily Vietnamese stock index.

16p tohitohi 22-05-2020 27 4   Download

Bài báo trình bày ứng dụng mô hình toán bộ huấn luyện mờ cho điều khiển tàu hành trình ngược chiều. Các tác giả trình bày nghiên cứu mô hình mờ TS có cấu trúc mạng nơron năm lớp tác động trực tiếp có tên ANFIS (Adaptive-Network-based Fuzzy Inference Systems) và mô hình TS có thể huấn luyện bằng phương pháp lan truyền ngược sai số BP (Back Propagation).

4p slimzslimz 17-12-2019 48 4   Download

Trong những năm gần đây, diễn biến về lượng mưa trên các lưu vực là một trong những vấn đề cần được quan tâm và nghiên cứu, đặc biệt là những vấn đề liên quan đến lượng mưa vụ (LMV) phục vụ cho việc việc lập kế hoạch tưới nhằm nâng cao hiệu quả quản lý vận hành các hệ thống thủy lợi. Do sự thay đổi LMV có ảnh hưởng trực tiếp đến chế độ tưới và nguồn nước, đó là tài liệu cơ bản trong việc lập kế hoạch tưới của các hệ thống thủy lợi, câu hỏi được đặt ra là liệu những thay đổi về LMV có thể được dự báo với độ chính xác ở mức có thể chấp nhận được hay không.

9p caygaolon 31-10-2019 96 1   Download

This paper proposes a fuzzy adaptive second order sliding mode controller for 2D overhead crane model to improve the quality of position tracking, anti-swing in case existence of external disturbances. The sliding surface parameters are adjusted by a fuzzy logic system to change the sliding surface in order to track faster and make the payload oscillation smaller. The simulation results show that the system quality is improved and the applicability of the proposed controller in industrial practice.

8p thithizone1 18-07-2019 18 1   Download

The acquisition of high-frequency data in real times has developed new fields like neuro-fuzzy systems for forcasting problems, renewing also the interest in the forcasting of financial and stock market indexes. In this paper, we present an experiment result based on Adaptive Neuro-Fuzzy Inference System with a new computing procedure for stock price prediction.

10p nguynthithuylinh 02-06-2017 48 1   Download

This chapter describes the joint application of two soft computing methods – evolutionary algorithms and fuzzy reasoning – to the problem of adaptive distributed routing control in packet-switched communication networks. In this problem, a collection of geographically distributed routing nodes are required to adaptively route data packets so as to minimise mean network packet delay. Nodes reach routing decisions locally using state measurements which are delayed and necessarily only available at discrete sampling intervals. ...

14p tienvovan 11-09-2010 68 5   Download