Extreme learning machine (ELM) is a training algorithm for single hidden layer feedforward
neural network (SLFN), which converges much faster than traditional methods and yields …

In big data fields, with increasing computing capability, artificial neural networks have shown
great strength in solving data classification and regression problems. The traditional training …

Cluster analysis is an essential tool in data mining. Several clustering algorithms have been
proposed and implemented, most of which are able to find good quality clustering results …

Extreme learning machines (ELMs) basically give answers to two fundamental learning
problems:(1) Can fundamentals of learning (ie, feature learning, clustering, regression and …

Extreme learning machine (ELM) is an efficient learning algorithm of training single layer
feed-forward neural networks (SLFNs). With the development of unsupervised learning in …

Abstract Machine learning techniques are being increasingly used for detection and
diagnosis of diseases for its accuracy and efficiency in pattern classification. In this paper …

The feedforward neural network based on randomization has been of great interest in the
scientific community, particularly extreme learning machines, due to its simplicity, training …

Breast cancer is a top dangerous killer for women. An accurate early diagnosis of breast
cancer is the primary step for treatment. A novel breast cancer detection model called …

The symbiotic organism search (SOS) is a recently proposed metaheuristic optimization
algorithm that simulates the symbiotic interaction strategies adopted by organisms to survive …

Kmeans clustering algorithm is an iterative unsupervised learning algorithm that tries to
partition the given dataset into k pre-defined distinct non-overlap** clusters where each …