You can think of a neural network as a complex function that accepts some numeric inputs and that generates some numeric outputs. A neural network has weights and bias values that, along with the ...

Although mathematically elegant, back-propagation isn't perfect. Instead consider using particle swarm optimization (PSO) to train your neural network; here's how. You can think of a neural network as ...

For optimization of real time problems it is difficult to generate equations which are to be optimized. Such problems can be optimized by using Design Optimization in ANSYS. But in many cases, it ...

Abstract: Considering the heavy reliance of traditional adaptive dynamic programming (ADP) algorithms on gradient information and the lack of theoretical guarantees associated with particle swarm ...