Comparison of Optimized Backpropagation Algorithms W. Schiffmann‚ M. Joost‚ R. Werner University of Koblenz Institute of Physics Rheinau 3–4 W-5400 Koblenz e-mail: evol@infko.uni-koblenz.de Presented at ESANN 93‚ Br¨ ssel u Abstract Backpropagation is one of the most famous training algorithms for multilayer perceptrons. Unfortunately it can be very slow for practical applications. Over the last years many improvement strategies have been developed to speed up backpropagation. It’s
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classification algorithms applied‚ the BBC forum dataset [112] used and the performance evaluation measures used to analyze the results. 5.5.1 Classification Algorithms For classification task‚ in this module‚ we used the four classification algorithms of Support Vector Machine‚ Decision Tree‚ Naïve Bayes and Logistic Regression provided in ODM[107]. As discussed earlier that it is used for data mining tasks in a number of existing research works[108-110]. Maximum Description Length (MDL) algorithm has been
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Design of Algorithms Question 1- Describe the following: Well known Sorting Algorithms Divide and Conquer Techniques Answer: Well known Sorting Algorithms We know the following well - known algorithms for sorting a given list of numbers: Ordered set: Any set S with a relation‚ say‚ ≤ ‚ is said to be ordered if for any two elements x and y of S‚ either x ≤ y or x ≥ y is true. Then‚ we may also say that (S‚ ≤) is an ordered set. 1. Insertion sort The insertion sort‚ algorithm for sorting
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different queuing and propagation delays‚ and packets reach the destination with a wide range of inter-arrival times[36]. We need to achievement the QoS with the best performance thus the suggestion to combine two algorithms‚ the first algorithm simple switching spanning tree‚ and second algorithm multipath and must be using the Queue to set in switching. The first method design to learning the all switches about the location of the host in switch and then avoid any loop by using some codes‚ and second
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JOURNAL OF INFORMATION SCIENCE AND ENGINEERING 17‚ 713-727 (2001) A Fast Algorithm for Multilevel Thresholding PING-SUNG LIAO‚ TSE-SHENG CHEN* AND PAU-CHOO CHUNG+ Department of Electrical Engineering ChengShiu Institute of Technology Kaohsiung‚ 833 Taiwan * Department of Engineering Science National Cheng Kung University Tainan‚ 701 Taiwan + Department of Electrical Engineering National Cheng Kung University Tainan‚ 701 Taiwan Otsu reference proposed a criterion for maximizing the between-class
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// FREQUENT SUBTREE MINING ALGORITHM... #include #include #include #include #include #include using namespace std; FILE *fp; int no_of_nodes=0‚ string_ctr=0‚ vect_ctr=0‚ vect_ctr1=0‚pos_ctr=0‚*pos; struct MyNode { string name; vector children; }*myroot‚ *myroot1‚ **tree_pattern‚ **subtree_pattern; //FUNCTION PROTOTYPES DECLARATION ... static void print_element_names(xmlNode *); static MyNode* preprocess(xmlNode *‚MyNode *‚ int); int printMyNode(MyNode *); void
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The Design & Analysis o f A lgorithms ~~ I_ND EDIIIQN ~ I ntroduction t o * The Design & Analysis o f Algorithms I ND EDITION " I ntroduction t o ~ ~ ~ Anany Levitin Villanova University B oston San Francisco N ew York L ondon T oronto S ydney Tokyo Singapore Madrid M exico City M unich Paris C ape Town H ong K ong M ontreal Publisher Acquisitions E ditor P roject E ditor P roduction Supervisor M arketing Manager P roject Management & Composition Technical
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Student Name Syed Haseeb Hashmi Registration # FA11-BCS-075 Course Title Design and Analysis of Algorithm Assignment # 1 Submitted To Sir Tanveer Ahmed Siddiqui Due Date 19-03-2013 For Odd Role Number Group Q1. How does a flowchart help a programmer in a program development? Ans. Flowcharts provide the visual representation of a concept and make it clear. A flow chart serves
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Introduction to Genetic Algorithms S.N.Sivanandam · S.N.Deepa Introduction to Genetic Algorithms With 193 Figures and 13 Tables Authors S.N.Sivanandam Professor and Head Dept. of Computer Science and Engineering PSG College of Technology Coimbatore - 641 004 TN‚ India S.N.Deepa Ph.D Scholar Dept. of Computer Science and Engineering PSG College of Technology Coimbatore - 641 004 TN‚ India Library of Congress Control Number: 2007930221 ISBN 978-3-540-73189-4 Springer Berlin Heidelberg
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Recommended Systems using Collaborative Filtering and Classification Algorithms in Data Mining Dhwani Shah 2008A7PS097G Mentor – Mrs. Shubhangi Gawali BITSC331 2011 1 BITS – Pilani‚ K.K Birla Goa INDEX S. No. 1. 2. 3. 4. 5. 6. 7. 8. 9. Topic Introduction to Recommended Systems Problem Statement Apriori Algorithm Pseudo Code Apriori algorithm Example Classification Classification Techniques k-NN algorithm Determine a good value of k References Page No. 3 5 5 7 14 16 19 24 26 2
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