Most Used Categories

Learn Artificial Neural Network

Brain-State-in-a-Box Network

Brain-State-in-a-Box Network, The Brain-State-in-a-Box (BSB) neural network is a nonlinear auto-associative neural network and can be extended to hetero-association with two or more layers. …Read More

Learn Artificial Neural Network

Other Optimization Techniques

Other Optimization Techniques, Gradient descent, also known as the steepest descent, is an iterative optimization algorithm to find a local minimum of a function. While minimizing the functio…Read More

Learn Artificial Neural Network

Boltzmann Machine

Boltzmann Machine, These are stochastic learning processes having recurrent structure and are the basis of the early optimization techniques used in ANN. Boltzmann Machine was inv…Read More

Learn Artificial Neural Network

Associate Memory Network

Associate Memory Network, These kinds of neural networks work on the basis of pattern association, which means they can store different patterns and at the time of giving an output they …Read More

Learn Artificial Neural Network

Learning Vector Quantization

Learning Vector Quantization, Learning Vector Quantization (LVQ), different from Vector quantization (VQ) and Kohonen Self-Organizing Maps (KSOM), basically is a competitive network which us…Read More

Learn Artificial Neural Network

Adaptive Resonance Theory

Adaptive Resonance Theory, This network was developed by Stephen Grossberg and Gail Carpenter in 1987. It is based on competition and uses unsupervised learning model. Adaptive Resonance …Read More