RBF neural network

Part 2 of ebook "Measuring technology and mechatronics automation in electrical engineering" provides readers with contents including: hardware-in-the-loop for on-line identification of SSP driving motor; hybrid adaptive fuzzy vector control vector control for single-phase induction motors; hybrid intelligent algorithm based on hierarchical encoding for training of RBF neural network; improved fuzzy neural network for stock market prediction and application; landslide recognition in mountain image based on support vector machine;...

259p dongmelo 20-05-2024 4 1   Download

This paper proposes a method to identify the sum of nonlinear effects and disturbances for the hydraulic drive system, which uses the axial piston pump, based on the application of the Radial Basic Functions neural network (RBF) and state observer model.

5p vigojek 02-02-2024 2 2   Download

This research focuses on the integration of a radial basis function neural network (RBFNN) for uncertainty approximation in pneumatic artificial muscle (PAM) systems within the framework of power rate exponential reaching law sliding mode control (PRERL-SMC). Configured in an antagonistic manner, PAMs provide a range of benefits for developing actuators with human-like characteristics.

9p vimichaelfaraday 14-12-2023 8 4   Download

Ebook "Data mining with computational intelligence" includes content: Introduction, MLP neural networks for time series prediction and classification, fuzzy neural networks for bioinformatics, an improved RBF neural network classifier, an improved RBF neural network classifier, attribute importance ranking for data dimensionality reduction,...and other contents.

280p haojiubujain07 20-09-2023 5 3   Download

This paper confirms the practical effect of applying Artificial Neural Networks (ANNs) using Radial basis function (RBF) bases on Sliding mode control (SMC) to control nonlinear systems. The proposed algorithm is put into comparison with the super twisting 2-SMC, which was designed to reduce chattering and increase the performance of conventional SMC.

7p vidoctorstrange 06-05-2023 8 5   Download

In this paper, we consider the adaptive sliding mode control with radial basis function neural networks for the Omni-directional mobile robot. This is a holonomic robot that can operate easily in small and narrow spaces, due to the ability of flexible rotational and translational moving, simultaneously and independently.

8p vidoctorstrange 06-05-2023 12 6   Download

Bài viết Điều khiển trượt hệ nâng vật trong từ trường dùng mạng nơ ron hàm cơ sở xuyên tâm được nghiên cứu nhằm mục tiêu áp dụng bộ điều khiển trượt dùng mạng nơ-ron hàm cơ sở xuyên tâm, gọi tắt là mạng nơron RBF (Radial Basis Function Neural Networks) cho hệ nâng vật trong từ trường.

5p visaleen 30-10-2022 12 4   Download

This present study proposes a design and the analysis of the novel adaptive robust neural networks (ARNNs) based on the backstepping control method for industrial robot manipulators (IRMs). In this research, the ARNNs controller has combined the advantages of Radial Basis Function neural network (RBFNN), the robust term, and adaptive backstepping control technique without the requirement of prior knowledge.

7p vigeneralmotors 13-07-2022 471 10   Download

This paper presents a controller synthesis method for continuous mixing technology commonly encountered in industry. The kinematic model of the control object is described in the form of a system of nonlinear equations and is affected by unknown external disturbance.

9p viirenerosenfeld 02-06-2022 11 3   Download

This paper presents a method to synthesize the adaptive sliding mode controller for a class of MIMO Euler-Lagarance systems with variable parameters. We perform a Taylor series expansion of a class of MIMO Euler-Lagarance systems into nonlinear state-space equations, considering cases of varying parameters and unmeasured external disturbances.

9p viirenerosenfeld 26-05-2022 17 2   Download

Trong bài viết này, điều khiển thích nghi sử dụng mạng nơ-ron RBF (radial basis neural network) được đề xuất cùng với bài toán giảm chattering trong điều khiển trượt hệ thống bồn đôi tương tác. Mạng nơ-ron RBF được sử dụng để xấp xỉ hàm trong luật điều khiển trượt.

9p vivelvet2711 06-09-2021 18 2   Download

In this paper, we investigate the use of a deep learning method, Deep Belief Network (DBN), combined with chaos theory to forecast chaotic time series. DBN should be used to forecast chaotic time series. First, the chaotic time series are analyzed by calculating the largest Lyapunov exponent, reconstructing the time series by phase-space reconstruction and determining the best embedding dimension and the best delay time. When the forecasting model is constructed, the deep belief network is used to feature learning and the neural network is used for prediction.

11p trinhthamhodang9 04-12-2020 22 2   Download

Bài giảng Lý thuyết nhận dạng - Một số kỹ thuật trong lý thuyết nhận dạng (tiếp) với các nội dung radial basis functions neural networks; kiến trúc của mạng neural RBF; khớp đường cong sử dụng mạng neural RBF; biểu diễn của dữ liệu nói trên; phân bố của mẫu trong ví dụ...

76p cothumenhmong7 05-09-2020 45 5   Download

In order to obtain maximum power output of wind turbine systems, it is necessary to control the wind turbine such as pitch angles and torques by several methods. In this paper, the radial basic function (RBF) neural network is used to control the variability of blade pitch angles.

11p cleopatrahuynh 01-06-2020 24 0   Download

Much attention has been paid to Taylor series expansion (TSE) method these years, which has been extensively used for solving nonlinear equations for its good robustness and accuracy of positioning. A Taylor-series expansion location algorithm based on the RBF neural network (RBF-TSE) is proposed before to the performance of TSE highly depends on the initial estimation.

8p vivalletta2711 11-01-2020 17 1   Download

Bài báo này trình bày phương pháp nhận dạng hệ thống phi tuyến MIMO (MultipleInput-Multiple-Output) sử dụng mạng nơ - ron RBF (Radial Basis Function Neural Networks). Phương pháp này được ứng dụng để nhận dạng đối tượng robot di động đa hướng (Omni-Directional Mobile Robot). Đây là một loại robot holonomic có thể di chuyển dễ dàng trong những không gian nhỏ, hẹp do khả năng di chuyển một cách linh hoạt, vừa quay vừa tịnh tiến đồng thời và độc lập.

5p slimzslimz 17-12-2019 71 3   Download

In this paper, a novel control method for second order nonlinear system based on sliding mode controller, RBF neural network and adaptive control system is proposed. Firstly, a new controller is designed based on sliding mode control system.

7p viengland2711 23-07-2019 25 0   Download

In this paper, the authors present a hybrid multibiometric authentication person system that integrates both multi modal and multi algorithmic. Multi-modal, the system using face and fingerprint features, has long been considered common in personal authentication. Multi-algorithm is the system which uses Circularly Orthogonal Moments, such as Zernike Moment (ZM), Pseudo Zernike Moment (PZM), Polar Cosine Transform (PCT) and Radial Basis Function (RBF) Neural Networks. These moments are widely used because their magnitudes are invariant to image rotation, scaling and noise.

6p girlsseek 27-02-2019 24 2   Download

In this paper, the authors present a multimodal biometric system using face and fingerprint features with the incorporation of Zernike Moment (ZM) and Radial Basis Function (RBF) Neural Network for personal authentication.

12p girlsseek 27-02-2019 33 0   Download

In the last few years, thanks to the development of the Fuzzy logic theory and Hedge algebra, more complex Fuzzy control problems were solved. In this papers, we will present the solution that uses combination between Hedge Algebra and RBF neural network in the Fuzzy control method.

11p binhminhmuatrenngondoithonggio 09-06-2017 56 5   Download