Basics
Artificial Neural Network – Genetic Algorithm
Nature has always been a great source of inspiration to all mankind. Genetic Algorithms (GAs) are search-based algorithms…
July 15, 2021 · Rajil TLLatest articles
Basics
Other Optimization Techniques
Iterated Gradient Descent Technique Gradient descent, also known as the steepest descent, is an iterative optimization algorithm to…
July 15, 2021 · Rajil TLBasics
Optimization Using Hopfield Network
Optimization is an action of making something such as design, situation, resource, and system as effective as possible.…
July 15, 2021 · Rajil TLBasics
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…
July 15, 2021 · Rajil TLBasics
Boltzmann Machine
These are stochastic learning processes having recurrent structure and are the basis of the early optimization techniques used…
July 15, 2021 · Rajil TLBasics
Artificial Neural Network – Hopfield Networks
Hopfield neural network was invented by Dr. John J. Hopfield in 1982. It consists of a single layer…
July 15, 2021 · Rajil TLBasics
Associate Memory Network
These kinds of neural networks work on the basis of pattern association, which means they can store different…
July 15, 2021 · Rajil TLBasics
Kohonen Self-Organizing Feature Maps
Suppose we have some pattern of arbitrary dimensions, however, we need them in one dimension or two dimensions.…
July 15, 2021 · Rajil TLBasics
Adaptive Resonance Theory
This network was developed by Stephen Grossberg and Gail Carpenter in 1987. It is based on competition and…
July 15, 2021 · Rajil TLBasics
Learning Vector Quantization
Learning Vector Quantization (LVQ), different from Vector quantization (VQ) and Kohonen Self-Organizing Maps (KSOM), basically is a competitive…
July 15, 2021 · Rajil TL