Gives a brief overview of several popular neural network types, such as Hopfield, Feedforward, Elman, Jordan, radial basis function and self organizing maps.
Duration : 0:9:35
Aug 15
Neural Network Types for Encog
Archived in the category: neural networks
Aug 01
RoboSight - Neural Network Camera
Archived in the category: neural networks
RoboSight is a new neural network based camera that is compatible with lego mindstorms and most robots and microcontrollers. It can be trained using on-board controls or using a serial connection. For more info see: http://www.rnisys.com
Duration : 0:4:9
Jul 11
Artificial Neural Network based Techniques for Semantic Data Interoperability
Archived in the category: neural networks
This is the Neural Network in-class presentation. It is motivated by solving the problem of semantic interoperability in DB and Semantic Web, adopting Neural Network techniques, SEMINT and PRIOR+.
【Presentated materials】:
Li, W. and Clifton, C. Semint: A System Prototype for Semantic Integration in Heterogeneous Databases. In Proceedings of SIGMOD Conference. 1995, 484-484.
Li, W. and Clifton, C. Semantic Integration in Heterogeneous Databases Using Neural Networks. In Proceedings of VLDB. 1994, 1-12.
Li, W. and Clifton, C. SEMINT: A tool for identifying attribute correspondences in heterogeneous databases using neural networks. In Proceedings of Data Knowl. Eng.. 2000, 49-84.
Li, W., Clifton, C., and Liu, S. Database Integration Using Neural Networks: Implementation and Experiences. In Proceedings of Knowl. Inf. Syst.. 2000, 73-96.
Mao, M. Ontology Mapping: An Information Retrieval and Interactive Activation Network Based Approach. In Proceedings of ISWC/ASWC. 2007, 931-935.
Mao, M., Peng, Y., and Spring, M. Integrating the IAC neural network in ontology mapping. In Proceedings of WWW. 2008, 1223-1224.
Mao, M., Peng, Y., and Spring, M. Neural Network based Constraint Satisfaction in Ontology Mapping. In Proceedings of AAAI. 2008, 1207-1212.
Mao, M. Ph.D. Dissertation. “Ontology Mapping: Towards Semantic Interoperability in Distributed and Heterogeneous Environments”. Univ. of Pitts. 2008.
Duration : 0:7:47
Jun 12
Neural Networks Lesson 2: Probabilisitic Neural Networks
Archived in the category: neural networks
http://xoax.net/
This lesson demonstrates how a Probabilistic Neural Network works, is programmed, and can be used to analyze data.
Please submit all questions to our forum:
http://xoax.net/forum/
Duration : 0:3:21
May 29
Lecture - 37 Learning Using Neural Networks - II
Archived in the category: neural networks
Lecture Series on Artificial Intelligence by Prof.Sudeshna Sarkar and Prof.Anupam Basu, Department of Computer Science and Engineering,I.I.T, Kharagpur . For more details on NPTEL visit http://nptel.iitm.ac.in.
Duration : 0:48:45
May 20
MouseGestures - Neural Network Project ETSII ULL 01
Archived in the category: neural networks
This video shows the neural network project of a student of ETSII ULL university.
http://www.diegocerdan.es/gestos-de-raton/
Duration : 0:1:33
May 03
Neural Networks Lesson 1: Single-Layer Perceptrons
Archived in the category: neural networks
http://xoax.net/
This neural networks video lesson demonstrates how a single-layer perceptron works, is programmed, and can be used to analyze data.
Please submit all questions to our forum:
http://xoax.net/forum/
Duration : 0:4:20
Apr 18
Lecture - 36 Leavning Using neural Networks - I
Archived in the category: neural networks
Lecture Series on Artificial Intelligence by Prof.Sudeshna Sarkar and Prof.Anupam Basu, Department of Computer Science and Engineering,IIT, Kharagpur . For more details on NPTEL visit nptel.iitm.ac.in.
Duration : 1:0:46
Apr 04
Evolving Artificial Neural Network
Archived in the category: neural networks
DISCLAIMER: This video is boring. Basically this was an ignment for a class, wanted to get it up on YouTube in case the TA wanted to see it. In the rare case anyone cares to see this video, these X-Wings (the only free model I could find that wasn’t ugly as ) are controlled by a neural network. 4 inputs, a hidden layer of 3 nodes, and 4 output nodes. I could reduce the outputs down to 2, but it’s too late for that now (I’ll do it in the next project).
Duration : 0:9:52
Mar 28
dumb neural network
Archived in the category: neural networks
trained neural network that drives a car along a track credits: Ogre3d OgreNewt Track by Pierre Blanc …
Duration : 0:1:21