Advanced 24 min read
Fuzzy Logic Control of Switched Reluctance Motor Drives
The switched reluctance machines could be claimed to have a pivotal role in the changes in electrical machines technology since…
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Advanced 25 min read
Comparison Study of AI-based Methods in Wind Energy
The important environmental advantages of renewable energy sources have been significantly noticed, which results in most industrialized countries committed to…
Advanced 19 min read
Intelligent System for Controlling a Three-Phase Active Filter
The nonlinear elements contained by electrothermal installation lead to three main negative effects, which are reflected in the power quality:…
Basics 4 min read
Applications of Neural Networks
Before studying the fields where ANN has been used extensively, we need to understand why ANN would be the preferred…
Basics 5 min read
Artificial Neural Network – Genetic Algorithm
Nature has always been a great source of inspiration to all mankind. Genetic Algorithms (GAs) are search-based algorithms based on…
Basics 3 min read
Other Optimization Techniques
Iterated Gradient Descent Technique Gradient descent, also known as the steepest descent, is an iterative optimization algorithm to find a…
Basics 4 min read
Optimization Using Hopfield Network
Optimization is an action of making something such as design, situation, resource, and system as effective as possible. Using a…
Basics 2 min read
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…
Basics 4 min read
Boltzmann Machine
These are stochastic learning processes having recurrent structure and are the basis of the early optimization techniques used in ANN.…
Basics 4 min read
Artificial Neural Network – Hopfield Networks
Hopfield neural network was invented by Dr. John J. Hopfield in 1982. It consists of a single layer which contains…
Basics 3 min read
Associate Memory Network
These kinds of neural networks work on the basis of pattern association, which means they can store different patterns and…
Basics 2 min read
Kohonen Self-Organizing Feature Maps
Suppose we have some pattern of arbitrary dimensions, however, we need them in one dimension or two dimensions. Then the…