PPT-  Machine Learning Based Filtered Drag Force Model

Yundi Jiang Jari Kolehmainen Yile Gu Yannis Kevrekidis Ali Ozel amp Sankaran Sundaresan Princeton University NJ  2018 NETL Workshop on Multiphase Flow Science 1. Kinetics (external). Forces in human motion. . Impulse-momentum. Mechanical work, power, & energy. Locomotion Energetics. Outline. Kinetics. Forces in human motion. Gravity. Ground reaction. Inertial (F = ma). Airplane Flight:. X-Plane in the Classroom. What a Drag, Man. Drag . Flap. Kinds of Drag. Four Forces Of Flight. Weight. Lift. Drag. Thrust. What a Drag, Man. Drag as a . force. Drag is a force that resists the movement of the airplane through air.. Clustering and pattern recognition. W. ikipedia entry on machine learning. 7.1 Decision tree learning. 7.2 Association rule learning. 7.3 Artificial neural networks. 7.4 Genetic programming. 7.5 Inductive logic programming. 1. , . Tetsuaki. . Matsunawa. 2. . Shigeki Nojima. 2. , . Chikaaki. . Kodama. 2. , . Toshiya . Kotani. 2. . David . Z. Pan. 1. 1. University of Texas at . Austin. 2. Toshiba Corporation, Semiconductor & Storage Products . R/Finance. 20 May 2016. Rishi K Narang, Founding Principal, T2AM. What the hell are we talking about?. What the hell is machine learning?. How the hell does it relate to investing?. Why the hell am I mad at it?. David Kauchak. CS 451 – Fall 2013. Why are you here?. What is Machine Learning?. Why are you taking this course?. What topics would you like to see covered?. Machine Learning is…. Machine learning, a branch of artificial intelligence, concerns the construction and study of systems that can learn from data.. COS 518: Advanced Computer Systems. Lecture . 13. Daniel Suo. Outline. 2. What is machine learning?. Why is machine learning hard in parallel / distributed systems?. A brief history of what people have done. OPPORTUNITIES AND PITFALLS. What I’m going to talk about. Extremely broad topic – will keep it high level. Why and how you might use ML. Common pitfalls – not ‘classic’ data science. Some example applications and algorithms that I like. on Shared Devices. Ryen White and Ahmed Hassan Awadallah. Microsoft Research, USA. Contact: . ryenw@microsoft.com. . Shared . D. evice Search. 2011 Census: . 75% of U.S. households have . computer. In . (a) explain that an object travelling in a fluid experiences a resistive or a frictional force known as drag;. (b) state the factors that affect the magnitude of the drag force; . (c) determine the acceleration of an object in the presence of drag; . Machine can learn and become artificially intelligent-Alan Turing. Gradually the next few decades Some concept of Neural Networks, recurrent Neural Network, Reinforcement Learning, Deep Learning etc. which took machine learning to new heights.. Yonggang Cui. 1. , Zoe N. Gastelum. 2. , Ray Ren. 1. , Michael R. Smith. 2. , . Yuewei. Lin. 1. , Maikael A. Thomas. 2. , . Shinjae. Yoo. 1. , Warren Stern. 1. 1 . Brookhaven National Laboratory, Upton, USA. Ryan Ma . Background and Purpose of the Project. Aerodynamic analysis is one of the most crucial traits of a vehicle. It affects the fuel consumption of a car. . The shape of the car significantly affects the aerodynamic performances, which includes the lift and the drag. . Er. . . Mohd. . Shah . Alam. Assistant Professor. Department of Computer Science & Engineering,. UIET, CSJM University, Kanpur. Agenda. What is Machine Learning?. How Machine learning . is differ from Traditional Programming?.