Nature

An enhanced blood-sucking leech optimization for training feedforward neural networks

The BSLO is motivated by the prey-grabbing habits of blood-sucking leeches in rice paddies and emulates the exploration, exploitation, switching mechanism of directional leeches, recherche mechanism ...
Visual Studio Magazine

Neural Network Training Using Simplex Optimization

Simplex optimization is one of the simplest algorithms available to train a neural network. Understanding how simplex optimization works, and how it compares to the more commonly used back-propagation ...
Nature

Variable-fidelity EM analysis and simplex-anchored regression surrogates for efficient global optimization of microwave passive circuits

Formal optimization is nowadays ubiquitous in microwave design. It is frequently conducted using electromagnetic (EM) simulations, which guarantee dependability. Yet, it is computationally expensive.
Visual Studio Magazine

Neural Network Training Using Simplex Optimization

Simplex optimization is one of the simplest algorithms available to train a neural network. Understanding how simplex optimization works, and how it compares to the more commonly used back-propagation ...