Results 171 to 180 of about 18,805 (220)
Seasonal forecasting of the hourly electricity demand applying machine and deep learning algorithms impact analysis of different factors. [PDF]
El-Azab HI +3 more
europepmc +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Context adaptation of mamdani fuzzy rule based systems
International Journal of Intelligent Systems, 2008Summary: Context adaptation is certainly a promising approach in the development of Fuzzy Rule Based Systems (FRBSs). First, an initial rule base is extracted from heuristic knowledge of the application domain. Meanings of linguistic terms are defined so as to guarantee high interpretability of the FRBSs.
BOTTA A. +2 more
openaire +2 more sources
Mamdani-type fuzzy controllers are universal fuzzy controllers
Fuzzy Sets and Systems, 2001The authors address a problem about universal fuzzy controllers along with a proof that Mamdani-type fuzzy controllers are universal fuzzy controllers. The system under control is described by a state-space model of the form \(dx/dt=f(x(t),u(t))\) with a general form of the state feedback law \(u(t)=g(x(t))\), ``\(f\)'' and ``\(g\)'' being functions ...
Cao, S. G., Rees, N. W., Feng, G.
openaire +1 more source
ANALISISTINGKATKEPUASANKONSUMEN PADA RESTORAN CEPATSAJI MENGGUNAKAN FUZZY MAMDANI
Jurnal Ilmu Komputer dan Sistem Informasi, 2021The development of technology is the root of the civilization of society in carrying out their daily activities. In its application, technology can make it easy to access information that helps people to find out certain information, one of which is the level of consumer satisfaction with fast food restaurants.Fast food restaurants have become an ...
Eko Wijaya, Desi Arisandi, Tri Sutrisno
openaire +1 more source
Successive Overrelaxation for Mamdani Fuzzy Systems
Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007), 2007To design a Mamdani fuzzy system with good generalization ability in high dimensional feature space, a novel learning algorithm based on the structural risk minimization (SRM) inductive principle is presented in this paper. Firstly, the parameter estimation of a Mamdani fuzzy system is converted to a quadratic optimization problem.
Qianfeng Cai, Zhifeng Hao, Xiaowei Yang
openaire +1 more source
IMPLEMENTASI FUZZY MAMDANI UNTUK PENENTUAN SPESIFIKASI LAPTOP
Journal of Deep Learning, Computer Vision and Digital Image Processing, 2023ABSTRAK Penggunaan laptop pada saat ini sedang mengalami pertumbuhan yang pesat sehingga menjadikannya sebagai salah satu kebutuhan yang penting bagi kalangan masyarakat luas. Terkadang, pengguna tidak selalu mengadaptasikan spesifikasi laptop dengan penggunaannya yang sebenarnya.
null Ahmad Dani Setiawan, Ahmad Fuad
openaire +1 more source
Fuzzy Mamdani Inference System Skin Detection
2009 Ninth International Conference on Hybrid Intelligent Systems, 2009Skin detection is well known to detect the appearance of human and human parts within an image. However, there are several limitations exist in skin detection when using skin colour as cue to detect skin appearance. These limitations include problems such as illumination, skin-like pixels and camera characteristic.
Selamat, Ali +2 more
openaire +2 more sources
Sugeno, Mamdani, and fuzzy Mamdani controllers put in a uniform interpolation framework
International Journal of Intelligent Systems, 1998The paper provides a general framework for proving that fuzzy controllers are universal approximators. The proposed approach is constructive meaning that one is provided with a constructive proof (method) of designing the required fuzzy controllers. Several main classes of commonly encountered fuzzy controllers (Sugeno-Takagi, Mamdani) are analyzed in ...
openaire +3 more sources
Fuzzy Inference Network with Mamdani Fuzzy Inference System
2018In the modern era, the amount of data generated is increasing at an exponential rate. The generated data has both numeric as well as linguistic form. Learning or extracting relevant information from these types of data is a major challenge for researchers.
Nishchal K. Verma +3 more
openaire +1 more source

