Berkeley Electronic Press Selected WorksPhiladelphia UniversityNameer N. EL-Emam, "Reallocation of mesh points in fluid problems using back-propagation algorithm," Information Journal, Vol 9, No. 1, pp 175-184. January 2006.
James McCaffrey explains how to train a DNN using the back-propagation algorithm and describes the associated 'vanishing gradient' problem. You'll get code to experiment with, and a better understanding of what goes on behind the scenes when you use a neural network library such as Microsoft ...
The whale optimization algorithm has received much attention since its introduction due to its outstanding performance. However, like other algorithms, the whale optimization algorithm still suffers from some classical problems. To address the issues of
For this problem, the backpropagation algorithm guides the network's training. It holds the network's structure constant and modifies the weight associated with each connection. This is an iterative process that...
backtrack on previous non-optimal choices. In BSP therparameter is the ratio between the number of backtracking moves (unsetting one variable) and the number of decimation moves (assigning one variable).r<1 must hold and forr=0 we recover the SID algorithm. The running time scales asN/(1...
On the exercises and problems Using neural nets to recognize handwritten digits How the backpropagation algorithm works The Hadamard product,s⊙t Improving the way neural networks learn A visual proof that neural nets can compute any function ...
This book presents recent problems on optimization methods and algorithms in power systems, along with their codes in MATLAB, and discusses the theoretical background and applications of optimization methods and algorithms to power system management, pla
(as any reasonable gradient-based algorithm stalls when initialized directly in or near a local minimum). we omit including a numerical test of this type here since such experiments have been conducted in various previous works. we exemplarily mention the numerical investigations in [ 24 , ...
Algorithm Selection: Ensure the appropriate load balancing algorithm (e.g., round-robin, least connections, weighted) is selected based on the specific application and server requirements. Monitor Traffic Distribution: Observe the traffic distribution among backend servers to identify any imbalances. Sessi...
A decision algorithm based on a combination of discrete wavelet transforms (DWT) and back-propagation neural network (BPNN) is developed. Simulations and the training process for the backpropagation neural network are performed using ATP/EMTP and MATLAB. The variations of first scale high frequency ...