Abstract Back-propagation Neural Network (BPNN) algorithm is one of the most widely used
and a popular technique to optimize the feed forward neural network training. Traditional BP …

Abstract The Levenberg Marquardt (LM) algorithm is one of the most effective algorithms in
speeding up the convergence rate of the Artificial Neural Networks (ANN) with Multilayer …

Data classification is one of the most frequently used tasks carried out to label information
into predefined classes. The most commonly used models for data classification are Feed …

Abstract​—In this modern age, where the world moves towards automation so, there is a
need for automation in answer evaluation system. Currently, the online answer evaluation is …

摘要激光熔覆涂层质量由各个工艺参数及其交互作用共同决定, 通过工艺参数优化可实现熔覆涂
层调形控性. 从传统优化方法和智能优化方法的角度, 详细阐述熔覆涂层质量优化的国内外研究 …

Accurate estimation of sediment yield from watershed and its sub-watersheds is a
prerequisite for effective watershed management. Reported study was undertaken in a small …

Criminal cases are social problems that concern the public order and good morals of the
citizens as a whole. Research in criminology has recently focused on finding the root causes …

In this article, we explore the effectiveness of different numerical techniques in the training of
backpropaqgation neural networks (BPNN) which are fed with wavelet-transformed data to …

Accelerated Particle Swarm Optimization (APSO) algorithm is one of the latest additions to
the group of meta-heuristic nature inspired algorithms which provides derivative-free …

Training an artificial neural network is an optimization task, since it is desired to find optimal
weight sets for a neural network during training process. Traditional training algorithms such …