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<h2 id="neural-network-architectures">Neural Network Architectures</h2> <ul><li><a href="/facts/ADALINE/CXpaAWbV">ADALINE Neural Network</a></li> <li><a href="/facts/Adaptive_resonance_theory/X136MqFg">Adaptive Resonance Theory 1 (ART1)</a></li> <li><a href="/facts/Bidirectional_Associative_Memory/gyP9QbBb">Bidirectional Associative Memory (BAM)</a></li> <li><a href="/facts/Boltzmann_machine/2wyLI0pI">Boltzmann Machine</a></li> <li>Counterpropagation Neural Network (CPN)</li> <li><a href="/facts/Elman_network/bx7hBVB1">Elman Recurrent Neural Network</a></li> <li><a href="/facts/Neuroevolution_of_augmenting_topologies/yQperQTv">Neuroevolution of augmenting topologies (NEAT)</a></li> <li><a href="/facts/Perceptron/ArxdkAC1">Feedforward Neural Network (Perceptron)</a></li> <li><a href="/facts/Hopfield_net/xUBr6rpm">Hopfield Neural Network</a></li> <li><a href="/facts/Jordan_network/bx7hBVB1">Jordan Recurrent Neural Network</a></li> <li><a href="/facts/Radial_basis_function_network/KBesEWD3">Radial Basis Function Network</a></li> <li>Recurrent Self Organizing Map (RSOM)</li> <li><a href="/facts/Self-organizing_map/uuMRbpkl">Self Organizing Map (Kohonen)</a></li></ul> <h2 id="training-techniques">Training techniques</h2> <ul><li><a href="/facts/Backpropagation/lCsIdKHc">Backpropagation</a></li> <li><a href="/facts/Rprop/P5g9rgS6">Resilient Propagation (RProp)</a></li> <li><a href="/facts/Conjugate_gradient_method/AFwzBS4U">Scaled Conjugate Gradient (SCG)</a></li> <li><a href="/facts/Levenberg%25E2%2580%2593Marquardt_algorithm/yqhqgb1g">Levenberg–Marquardt algorithm</a></li> <li>Manhattan Update Rule Propagation</li> <li><a href="/facts/Competitive_learning/u0s7kch6">Competitive learning</a></li> <li><a href="/facts/Hopfield_net/xUBr6rpm">Hopfield Learning</a></li> <li><a href="/facts/Genetic_algorithm/WP2AFWuW">Genetic algorithm training</a></li> <li>Instar Training</li> <li>Outstar Training</li> <li><a href="/facts/ADALINE/CXpaAWbV">ADALINE Training</a></li></ul> <h2 id="see-also">See also</h2> <ul><li><a href="/facts/JOONE/uUaGkgNx">JOONE</a>: another <a href="/facts/Neural_network/DDhJTfMc">neural network</a> programmed in <a href="/facts/Java_(programming_language)/9ScgFyAL">Java</a></li> <li>FANN, a neural network written in <a href="/facts/C_(programming_language)/Ky2No763">C</a> with bindings to most other languages.</li> <li><a href="/facts/Deeplearning4j/chxHLqJs">Deeplearning4j</a>: An open-source deep learning library written for Java/C++ w/LSTMs and convolutional networks. Parallelization with Apache Spark and Aeron on CPUs and GPUs.</li></ul> <h2 id="external-links">External links</h2> <ul><li><a href="http://www.heatonresearch.com/encog">Encog Homepage</a></li> <li><a href="https://github.com/encog">Encog Project (GitHub)</a></li> <li><a href="http://www.devx.com/opensource/Article/44014/1954">Basic Market Forecasting with Encog Neural Networks (DevX Article)</a></li> <li><a href="http://www.codeproject.com/KB/recipes/encogintroxorjava.aspx">An Introduction to Encog Neural Networks for Java (Code Project)</a></li> <li><a href="http://www.codeproject.com/KB/recipes/benchmark-neuroph-encog.aspx">Benchmarking and Comparing Encog, Neuroph and JOONE Neural Networks</a></li></ul> <h2 id="references">References</h2> <ol> <li id="fn:1"><p>J. Heaton http://www.jmlr.org/papers/volume16/heaton15a/heaton15a.pdf Encog: Library of Interchangeable Machine Learning Models for Java and C# <a href="http://www.jmlr.org/papers/volume16/heaton15a/heaton15a.pdf" target="_blank">http://www.jmlr.org/papers/volume16/heaton15a/heaton15a.pdf</a> <a href="#fnref:1" class="footnote-back-ref">↩</a></p></li> <li id="fn:2"><p>D. Heider, J. Verheyen, D. Hoffmann http://www.biomedcentral.com/content/pdf/1471-2105-11-37.pdf Predicting Bevirimat resistance of HIV-1 from genotype <a href="http://www.biomedcentral.com/content/pdf/1471-2105-11-37.pdf" target="_blank">http://www.biomedcentral.com/content/pdf/1471-2105-11-37.pdf</a> <a href="#fnref:2" class="footnote-back-ref">↩</a></p></li> <li id="fn:3"><p>J. Heaton http://www.devx.com/opensource/Article/44014/1954 Basic Market Forecasting with Encog Neural Networks <a href="http://www.devx.com/opensource/Article/44014/1954" target="_blank">http://www.devx.com/opensource/Article/44014/1954</a> <a href="#fnref:3" class="footnote-back-ref">↩</a></p></li> <li id="fn:4"><p>http://www.heatonresearch.com/encog Description of Encog Project. <a href="http://www.heatonresearch.com/encog" target="_blank">http://www.heatonresearch.com/encog</a> <a href="#fnref:4" class="footnote-back-ref">↩</a></p></li> </ol>