Adaptive training of feed-forward neural networks by Kalman filtering, Report, Netherland Energy Research Foundation - Ciftcioglu, Türkcan - 1995Ciftcioglu, Ö, Türkcan, E (1995) Adaptive Training of Feedforward Neural Networks by Kalman Filtering, ECN-R-95-001. ECN, Petten, The Netherlands...
A modified version of the algorithm which can tolerate the failure of any pair of hidden neurons is also introduced and analyzeddoi:10.1109/MWSCAS.1994.519296Behnam S. AradAhmed El-AmawyIEEENeural NetworksArad and Ahmed El-Anway.On Fault Tolerant Training of Feedforward Neural Networks. Behnam S....
神文2010 understanding the difficulty training deep feedforward neural networksbingo统计了网络加深过程中参数被训练情况.pdf,Understanding the difficulty of training deep feedforward neural networks Xavier Glorot Yoshua Bengio ´ ´ ´ ´ DIRO, U
【Deep Learning】笔记:Understanding the difficulty of training deep feedforward neural networks,程序员大本营,技术文章内容聚合第一站。
The backpropagation (BP) algorithm is a gradient-based algorithm used for training a feedforward neural network (FNN). Despite the fact that BP is still used today when FNNs are trained, it has some disadvantages, including the following: (i) it fails when non-differentiable functions are ...
Accelerating the Training of Feedforward Neural Networks Using Improving Unsupervised Learning Principle Accelerating the training of feedforward neural networks using generalized Hebbian rules for initializing the internal r epresentations[J].IEEE Transactions on ... BA Fang,MX Zhu 被引量: 5发表: 2000...
Training feedforward neural networks using hybrid particle swarm optimization and gravitational search algorithm The Gravitational Search Algorithm (GSA) is a novel heuristic optimization method based on the law of gravity and mass interactions. It has been proven tha... SA Mirjalili,SZM Hashim,HM ...
Hierarchical genetic algorithm for near optimal feedforward neural network design. In this paper, we propose a genetic algorithm based design procedure for a multi-layer feed-forward neural network. A hierarchical genetic algorithm is use... G Yen,H Lu - 《International Journal of Neural Systems》...
Finding methods for the optimization of weights in feedforward neural networks has become an ongoing developmental process in connectionist research. The current focus on finding new methods for the optimization of weights is mostly the result of the slow and unreliable convergence properties of the ...
Paper之DL之BP:《Understanding the difficulty of training deep feedforward neural networks》 目录 原文解读 文章内容以及划重点 结论 文章内容以及划重点 Sigmoid的四层局限 sigmoid函数的test loss和training loss要经过很多轮数一直为0.5,后再有到0.1的差强人意的变化。