An Unified View on the Feedforward Neural Network ArchitectureUnified viewFeedforward Neural NetworksEnsemble learningSwarm intelligenceParticle swarm optimizationIn this paper, an unified view on feedforward neural networks (FNNs) is provided from the free perception of the architecture design, learning ...
Neural networkDecision-treeHidden neuronsThe number of hidden neurons of the feed-forward neural networks is generally decided on the basis of experience. The method usually results in the lack or redundancy of hidden neurons, and causes the shortage of capacity for storing infonnation or learning...
Synthesis of fault-tolerant feedforward neural networks using minimax optimization In this paper we examine a technique by which fault tolerance can be embedded into a feedforward network leading to a network tolerant to the loss of a nod... Deodhare, D,M Vidyasagar - 《IEEE Transactions on...
, “ Feedforward Neural Networks for the Identification of Dynamic Processes ”, Chem. Eng. Commun. 105 , 109 – 128 ( 1991 ).Thibault J.Feedforward neural networks for the identification of dynamic process,1991.Thibault J.Feedforward neural networks for the identification of dynamic process. ...
【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。
work.Onefeedforwardneureilnetwork,knownasthemultilayerperceptron(MLP),performsthesametaskasLDAandlogisticregressionwhich,apriori,makesitappropriateforthetreatmentoffinancialinformation.Inthispaper,apracticalcasebasedondatafromSpanishcompanies,shows,inanempiricalform,thestrengthsandweaknessesoffeedforwardneuralnetworks....
The formula provides a priori knowledge regarding the required number of bit precision that should be employed to achieve acceptable recognition rate on the feedforward recall phase. A time delay neural network (TDNN) with speaker independence is used to do unvoiced stop consonants recognition, ...
Entropy error functionConvergenceMonotonicityGradient method is often used for the feedforward neural network training. Most of the studies so far have been focused on the square error function. In this paper, a novel entropy error function is proposed for the feedforward neural network training. ...
Feedforward neural network system for the detectio 优质文献 相似文献 参考文献 引证文献Deep Learning Based Classification of Underwater Acoustic Signals log Mel-spectrogramsconvolutional neural networkThe classification of underwater acoustic targets is a challenging task due to the intricacies involved in ...
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...