Encog [SEP] programming language
Encog
Encog is a machine learning framework available for Java and .Net.
Encog supports different learning algorithms such as Bayesian Networks, Hidden Markov Models and Support Vector Machines.
However, its main strength lies in its neural network algorithms. Encog contains classes to create a wide variety of networks, as well as support classes to normalize and process data for these neural networks. Encog trains using many different techniques. Multithreading is used to allow optimal training performance on multicore machines.
Encog can be used for many tasks,
implementing the APL programming language.
Selected publications.
- "Microprogrammed APL," R.Zaks, Fifth IEEE Computer Conference Proceedings, Sep. 1971 p 193.
- "A Microprogrammed APL Implementation," R. Zaks Ph. D. Thesis, University of California, Berkeley, June 1972.
- "A Firmware APL Time Sharing System", R. Zaks D. Steingart, J. Moore, SJCC 71, AFIPS Proceedings, Vol. 38, AFIPS Press, May 1971, pp 179–180.
- "Second Euromicro Symposium on