A review on weight initialization strategies for neural networks
Over the past few years, neural networks have exhibited remarkable results for various
applications in machine learning and computer vision. Weight initialization is a significant …
applications in machine learning and computer vision. Weight initialization is a significant …
A review on neural networks with random weights
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 …
great strength in solving data classification and regression problems. The traditional training …
A hybrid feature extraction method with regularized extreme learning machine for brain tumor classification
Brain cancer classification is an important step that depends on the physician's knowledge
and experience. An automated tumor classification system is very essential to support …
and experience. An automated tumor classification system is very essential to support …
A review of machine learning for near-infrared spectroscopy
The analysis of infrared spectroscopy of substances is a non-invasive measurement
technique that can be used in analytics. Although the main objective of this study is to …
technique that can be used in analytics. Although the main objective of this study is to …
Non-iterative and fast deep learning: Multilayer extreme learning machines
In the past decade, deep learning techniques have powered many aspects of our daily life,
and drawn ever-increasing research interests. However, conventional deep learning …
and drawn ever-increasing research interests. However, conventional deep learning …
What are extreme learning machines? Filling the gap between Frank Rosenblatt's dream and John von Neumann's puzzle
The emergent machine learning technique—extreme learning machines (ELMs)—has
become a hot area of research over the past years, which is attributed to the growing …
become a hot area of research over the past years, which is attributed to the growing …
Deep learning based brain tumor classification and detection system
The brain cancer treatment process depends on the physician's experience and knowledge.
For this reason, using an automated tumor detection system is extremely important to aid …
For this reason, using an automated tumor detection system is extremely important to aid …
An efficient method for traffic sign recognition based on extreme learning machine
This paper proposes a computationally efficient method for traffic sign recognition (TSR).
This proposed method consists of two modules:(1) extraction of histogram of oriented …
This proposed method consists of two modules:(1) extraction of histogram of oriented …
High-performance extreme learning machines: a complete toolbox for big data applications
This paper presents a complete approach to a successful utilization of a high-performance
extreme learning machines (ELMs) Toolbox for Big Data. It summarizes recent advantages …
extreme learning machines (ELMs) Toolbox for Big Data. It summarizes recent advantages …
Dimension reduction with extreme learning machine
Data may often contain noise or irrelevant information, which negatively affect the
generalization capability of machine learning algorithms. The objective of dimension …
generalization capability of machine learning algorithms. The objective of dimension …