Neural Net. Actually‚ Back Propagation1‚2‚3 is the training or learning algorithm rather than the network itself. The network used is generally of the simple type shown in figure 1.1‚ in chapter 1 and in the examples up until now. These are called FeedForward Networks (we’ll see why in chapter 7 on Hopfield Networks) or occasionally Multi-Layer Perceptrons (MLPs). The network operates in exactly the same way as the others we’ve seen (if you need to remind yourself‚ look at worked example 2.3). Now
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Intelligent Systems Fusion‚ Tracking and Control CSI: CONTROL AND SIGNAL/IMAGE PROCESSING SERIES Series Editor: Dr Peter A. Cook Control Systems Centre‚ UMIST‚ UK 1. Stabilisation of Nonlinear Systems: the piecewise linear approach Christos A. Yfoulis 2. Intelligent Systems - Fusion‚ Tracking and Control GeeWah Ng *3. Neural Network Control: Theory and Applications Sunan Huang‚ Kok Kiong Tan‚ Kok Zuea Tang *4. Decision Support Systems for Tele-medicine Applications
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Robot Dynamics and Control Second Edition Mark W. Spong‚ Seth Hutchinson‚ and M. Vidyasagar January 28‚ 2004 2 Contents 1 INTRODUCTION 1.1 Robotics . . . . . . . . . . . . . . . . . . . 1.2 History of Robotics . . . . . . . . . . . . . 1.3 Components and Structure of Robots . . . 1.3.1 Symbolic Representation of Robots . 1.3.2 Degrees of Freedom and Workspace 1.3.3 Classification of Robots . . . . . . . 1.3.4 Common Kinematic Arrangements . 1.3.5 Robotic Systems . . . . . . . . . .
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Shiana Gunasekera Lecture 2: GROUPS AND TEAMS *Groups/Teams – same - people with complementary skills‚ to achieve shared purpose and are held mutually responsible. *Formal Teams – officially recognised (organisational chart) and supported by the organisation for specific purposes. *Informal Teams- Natural or spontaneous relationship. No OC *Hierarchy – single person authority/performance responsibility. *Self-managed teams – decisions/complete work on own. Mutually responsible. Perform
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Analysis on Credit Card Fraud Detection Methods 1 1 S. Benson Edwin Raj‚ 2A. Annie Portia Assistant Professor (SG)‚ P.G.‚ 2Scholar Department of CSE Karunya University‚ Coimbatore counter the credit card fraud effectively‚ it is necessary to understand the technologies involved in detecting credit card frauds and to identify various types of credit card frauds [20] [21] [22] . There are multiple algorithms for credit card fraud detection [21] [29]. They are artificial neural-network models which
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Prep for EDAHOD5 – Assessment 1. Outcomes based assessment * What to assess. Things we want the learners to be able to know and to do by end of learning programme * Demonstrations of learning * An outcome includes knowledge skills and attitudes * To assess we must provide opportunities to be deemed competent * Assess knowledge‚ skills and attitude‚ therefore Outcomes based as opposed to input based * When doing this assessment we use a set of assessment criteria – formative
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expert system approach for fault diagnosis considering uncertainties‚” Proceedings of International Conference on Intelligent Manufactureing’95 (ICIM’95)‚ Wuhan‚ China‚ June‚ 1995. [19] R. Welch‚ S. Ruffing‚ G. K. Venayagamoorthy‚ “Comparison of Feedforward and Feedback Neural Network Architectures for Short Term Wind Speed Prediction”‚ IEEE-INNS International Joint Conference on Neural Networks‚ Atlanta‚ GA‚ USA‚ June 14-19‚ 2009. [22] Kola Venkataramana Babu‚ Manoj Tripathy and Asheesh K Singh‚ "Recent
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NEURAL NETWORK BASED TRANSFORMER DIFFERENTIAL PROTECTION Abstract: The role of a differential relay for power transformer is to trip during fault condition and blocks the tripping during inrush‚ overexcitation‚ CT saturation conditions of the power transformer. Conventional harmonic restrained relay may mal operate due to the presence of the second and fifth harmonic during internal faults because of non-linear loads and capacitance in the transmission lines. This project presents a technique for
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27/08/2013 Welcome Dr. Hafizul Islam Unit coordinator & Lecturer Room: A531. Footscray Park Phone: 99194616 Email: hafizul.islam@vu.edu.au Welcome to BHO2259 Product and Services Innovations Dr. Hafizul Islam BHO2259 About Product and Services Innovations (PSI) Development‚ innovation and commercialization of new products and services is crucial About Product and Services Innovations (PSI) New products and services are developed Existing products
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Chapter 1 1.1 Introduction Bangladesh has a 724 lm long coastal area where south-westerly tradewind & sea breeze makes the usage of wind as a renewable energy source very visible. But‚ not much systematic wind study has been made‚ adequate information on the wind speed over the country and particularly on wind speeds at hub heights of wind machines is not available. A previous study (1986) showed that for the wind monitoring stations of Bangladesh Meteorological Department (BMD) the wind speed
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