Elm

Extreme learning Machine (ELM) [1] is a single hidden layer feed forward network (SLFN) introduced by G. B. Huang in 2006. In ELM, the weights between input and hidden neurons and the bias for each hidden neuron are assigned randomly. The weight between output neurons and hidden neurons are generated using the Moore Penrose Generalized Inverse [18]. This makes ELM a fast learning classifier. It surmounts various traditional gradient based learning algorithms [1] such as Back Propagation (BP) and

A Hybrid Moth-Flame Optimization and Extreme Learning Machine Model for Financial Forecasting Abstract—In this work, a system for stock market prediction is proposed based on a hybrid moth-flame optimizer (MFO) and extreme learning machine (ELM). ELM is also a promising method for data regression and classification and has the advantage of fast training time, but it always requires a huge number of nodes in the hidden layer. The usage of a large number of nodes in the hidden layer increases the test/evaluation

healthcare industry is Slippery Elm (Ulmas rubra). The plant is native to north America, growing in the eastern and central US and Canada, specifically the Appalachian Mountain region. It is part of the Ulmas family but can also be known as Indian Elm, gray elm, and red elm (OrganicFacts, 2018). The bark is mainly used because of its wide range of health benefits, and is usually dried or ground up into a pulp t be used as a powder (OrganicFacts, 2018). Slippery elm has a wide range of uses, including

The big elm was their sole exit, it would be their way out of this hell they were entrapped inside of. The big elm symbolized fate.An elm tree symbolizes the instinct choices that can lead to utter destruction due to the elm choosing their end results. Ned and Ruth were lucky enough to dodge the big elm which changed their roles of fate. Mattie and Ethan went with their gut decision and loomed towards the tree choosing their fate. The elm tree embodies everything to do with fate. An elm tree’s

Extreme learning machine proposed by\cite{elm,elms} is a feed forward neural network classifier with single hidden layer in which the weights between input and hidden layer are initialized randomly. ELM uses analytical approach to compute weights between hidden and output layer\cite{elm} ,which makes it faster compared to other gradient based classifiers. ELM fails to handle class imbalance problem effectively. Many variants of Extreme Learning Machine like Weighted Extreme Learning Machine(WELM)\cite{WELM}

companies. Since electricity theft directly affect the profit made by electricity companies, detection and prevention of electricity theft is necessary. In this paper we are proposing a hybrid approach to detect the electricity theft. We will use SVM and ELM for our approach. Introduction:- As we know electricity theft is a major problem for all electricity companies. This problem is not related to Indian companies only; other country’s electricity companies also face this problem. Electricity companies

Jaedi S. Mcmullins Ms. Kendrick Criminal justice 4/6/18 Who Put Bella In Wych Elm? There are many infamous unsolved mysteries throughout time, and some investigations span decades. A few mysteries include D.B. Cooper, Jack the ripper, and the unknown assailant of J.F.K., but none of these mysteries compare to the mystery surrounding the Hagley Woods murder and the conspiracies surrounding it. The case of a woman who met a grisly demise has inspired the locals to persist in figuring out who killed

Introduction Elaboration Likelihood Model was made popular by Richard E. Petty and John Cacioppo during the 1970s. Prior to Petty and Cacioppo the focus of ELM was primarily psychology focusing on why people made the choices that they did. Petty, Rucker, Blitzer & Cacioppo, (2004) stated, “…ELM is a theory about the processes underlying changes in attitudes, the variable that induce these processes, and the strength of the judgments resulting from these processes” (p.67)

many viewers follow what kind of model the films follow to appease their viewers.  However, after reading film theorist Carol Clover’s essay, watching one of the films she associates in the novel “Halloween”, and also watching the movie “Nightmare on Elm Street” I say almost every “slasher” or horror film follows a model similar to Clover’s.  The model that is a female is featured as a primary character and that the female tends to always overcome a situation at some point throughout the film to become

Four Questions for Discussion 1. After reading this case I found many of my thoughts and impressions of China to be valid. For my Masters a capstone project was a researched and developed a business plan to open a retail story in China; that lead to research in the Chinese culture. With exception of the section of the cased referred to as “Myth 1: Collectivism” (Kreitner & Kinicki, 2014) which did challenge some earlier research on the subject group/collectivism mentality in the Chinese culture