✦ LIBER ✦

Convergence of a Batch Gradient Algorithm with Adaptive Momentum for Neural Networks

✍ Scribed by Hongmei Shao; Dongpo Xu; Gaofeng Zheng

Book ID: 106483102
Publisher: Springer US
Year: 2011
Tongue: English
Weight: 350 KB
Volume: 34
Category: Article
ISSN: 1370-4621
DOI: 10.1007/s11063-011-9193-x

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Convergence Analysis of Batch Gradient A

Convergence Analysis of Batch Gradient Algorithm for Three Classes of Sigma-Pi Neural Networks

✍ Chao Zhang; Wei Wu; Yan Xiong 📂 Article 📅 2007 🏛 Springer US 🌐 English ⚖ 294 KB

A new adaptive momentum algorithm for sp

A new adaptive momentum algorithm for split-complex recurrent neural networks

✍ Dongpo Xu; Hongmei Shao; Huisheng Zhang 📂 Article 📅 2012 🏛 Elsevier Science 🌐 English ⚖ 411 KB

Boundedness and convergence of batch bac

Boundedness and convergence of batch back-propagation algorithm with penalty for feedforward neural networks

✍ Huisheng Zhang; Wei Wu; Mingchen Yao 📂 Article 📅 2012 🏛 Elsevier Science 🌐 English ⚖ 296 KB

Convergence analysis of a back-propagati

Convergence analysis of a back-propagation algorithm with adaptive momentum

✍ Hongmei Shao; Gaofeng Zheng 📂 Article 📅 2011 🏛 Elsevier Science 🌐 English ⚖ 172 KB

An adaptive conjugate gradient learning

An adaptive conjugate gradient learning algorithm for efficient training of neural networks

✍ H. Adeli; S.L. Hung 📂 Article 📅 1994 🏛 Elsevier Science 🌐 English ⚖ 1003 KB

A parallel algorithm for gradient traini

A parallel algorithm for gradient training of feedforward neural networks

✍ Zdeněk Hanzálek 📂 Article 📅 1998 🏛 Elsevier Science 🌐 English ⚖ 742 KB

This paper presents a message-passing architecture simulating multilayer neural networks, adjusting its weights for each pair, consisting of an input vector and a desired output vector. First, the multilayer neural network is defined, and the difficulties arising from parallel implementation are cla