Voltage Stability Margin Index Estimation Using a Hybrid Kernel Extreme Learning Machine Approach
نویسندگان
چکیده
منابع مشابه
Maximum Margin Clustering Using Extreme Learning Machine
Maximum margin clustering (MMC) is a newly proposed clustering method, which extends large margin computation of support vector machine (SVM) to unsupervised learning. But in nonlinear cases, time complexity is still high. Since extreme learning machine (ELM) has achieved similar generalization performance at much faster learning speed than traditional SVM and LS-SVM, we propose an extreme maxi...
متن کاملA Novel Extreme Learning Machine Based on Hybrid Kernel Function
Extreme learning machine is a new learning algorithm for the single hidden layer feedforward neural networks (SLFNs). ELM has been widely used in various fields and applications to overcome the slow training speed and over-fitting problems of the conventional neural network learning algorithms. ELM algorithm is based on the empirical risk minimization, without considering the structural risk an...
متن کاملMultiple kernel extreme learning machine
Extreme learning machine (ELM) has been an important research topic over the last decade due to its high efficiency, easy-implementation, unification of classification and regression, and unification of binary and multi-class learning tasks. Though integrating these advantages, existing ELM algorithms pay little attention to optimizing the choice of kernels, which is indeed crucial to the perfo...
متن کاملA Hybrid Kernel Extreme Learning Machine based Approach for Microarray Gene Expression and Multiclass Cancer Classification
Article history: Received 25 January 2014 Received in revised form 8 April 2014 Accepted 20 April 2014 Available online 10 May 2014
متن کاملAn efficient hybrid kernel extreme learning machine approach for early diagnosis of Parkinson's disease
In this paper, we explore the potential of extreme learning machine (ELM) and kernel ELM (KELM) for early diagnosis of Parkinson’s disease (PD). In the proposed method, the key parameters including the number of hidden neuron and type of activation function in ELM, and the constant parameter C and kernel parameter γ in KELM are investigated in detail. With the obtained optimal parameters, ELM a...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Energies
سال: 2020
ISSN: 1996-1073
DOI: 10.3390/en13040857