Feedback required for another tutorial : Quasi Newton Training Algorithm for Artificial Neural Networks(QNANN)

QNANN is an algorithm which are used for update of weights of the neural networks. These algorithms are also known as training algorithm and is known to be popular enough as a technique to optimize the accuracy of neural network. In this presentation the two important techniques for weight update of neural networks at the time of training.




Comments

Popular posts from this blog

Particle Swarm Optimization with out code

Risk Minimization of Wetlands from Climatic Vulnerabilities by Firefly and Glowworm Optimization Techniques

Introduction to Moth Flame Optimization Techniques