Encog 2.0.0

Encog contains classes for Feedforward Neural Networks, Hopfield Neural Networks, and self organizing maps.Training can be accomplished using simulated annealing, back-propagation, and genetic optimization. Additional classes are provided for pruning neural networks.

Encog also includes advanced HTTP bot programming features. A multithreaded spider that can store its workload either in memory on a database is provided. HTML parsing is provided, as well as advanced form and cookie handling.

Major Features:

1. Neural Network Architectures
   
   • Feedforward Neural Network (Perceptron)
   • Hopfield Neural Network
   • Self Organizing Map (Kohonen)
   • Radial Basis Function Network
   • Elman Recurrent Neural Network
   • Jordan Recurrent Neural Network
2. Training Techniques
   
   • Backpropagation
   • Resilient Propagation
   • Manhattan Update Rule Propagation
   • Competitive Learning
   • Hopfield Learning
   • Genetic Algorithm Training
3. Training Data Models
   
   • Supervised
   • Unsupervised
   • Temporal (Prediction)
   • Financial (downloads from Yahoo Finance)
   • SQL
   • XML
   • CSV
   • Image Downsampling
4. Activation Functions
   
   • Sigmoid
   • Hyperbolic Tangent
   • Linear
   • SoftMax
   • Tangential
   • Sin Wave
   • Bipolar
   • Gaussian