'Kohonen' diaporamas de présentation

Unit 13 Assessment in Language Teaching

Unit 13 Assessment in Language Teaching. Welcome. Teaching Objectives. 1. Assessment purposes 2. Assessment methods 3. Assessment criteria 4. Assessment principles 5. Testing in language assessment. I. Assessment purposes To put it simply, assessment in ELT means

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Advanced Neural Networks

Advanced Neural Networks. Sigmoid Versus Radial Basis Function Node Recurrent Networks Adaptive Resonance Theory Network Self-Organizing Maps of Kohonen Semantic Maps Adaptive Critic Neural Networks Linear Vector Quantization. Sigmoid Versus Radial Basis Function Node.

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Neural Networks Chapter 9

Neural Networks Chapter 9. Joost N. Kok Universiteit Leiden. Unsupervised Competitive Learning. Competitive learning Winner-take-all units Cluster/Categorize input data Feature mapping. 1. 2. 3. Unsupervised Competitive Learning. winner. output. input (n-dimensional).

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Bioinformatics Week 9: Simulations #3: Neural Networks

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Living Standards of Vietnamese provinces: a Kohonen map

Living Standards of Vietnamese provinces: a Kohonen map. Dominique Haughton NguyÔn Phong. Agenda. Research question Kohonen maps: principle and basic algorithm Vietnamese variables used for Kohonen map What can be seen from the maps? Findings Further research issues. Research Question.

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Joint seismic attributes visualization using Self-Organizing Maps

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Self-Organizing Maps (Kohonen Maps)

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Artificial Neural Network

Artificial Neural Network. Lecture # 8 Dr. Abdul Basit Siddiqui. Covered so for (Revision). 1943 McCulloch and Pitts proposed the McCulloch-Pitts neuron model. 1949 Hebb published his book The Organization of Behavior, in which the Hebbian learning rule was proposed .

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