✦ LIBER ✦

An improved genetic algorithm for training layered feedforward neural networks

✍ Scribed by Liu Ping; Cheng Yi-yu

Publisher: SP Zhejiang University Press
Year: 2000
Tongue: English
Weight: 400 KB
Volume: 1
Category: Article
ISSN: 1009-3095
DOI: 10.1007/bf02910644

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

An efficient improved adaptive genetic a

An efficient improved adaptive genetic algorithm for training layered feedforward neural networks

✍ Wang Xin-miao; Yan Pu-liu; Huang Tian-xi 📂 Article 📅 1999 🏛 Wuhan University 🌐 English ⚖ 51 KB

Efficient genetic algorithms for trainin

Efficient genetic algorithms for training layered feedforward neural networks

✍ Byungjoo Yoon; Dawn J. Holmes; Gideon Langholz; Abraham Kandel 📂 Article 📅 1994 🏛 Elsevier Science 🌐 English ⚖ 952 KB

Training Feedforward Neural Networks: An

Training Feedforward Neural Networks: An Algorithm Giving Improved Generalization

✍ Charles W. Lee 📂 Article 📅 1997 🏛 Elsevier Science 🌐 English ⚖ 711 KB

An algorithm is derived for supervised training in mtdtilayer feedforwardneural networks. Relative to the gradient descent backpropagation algorithm it appears to give bothfaster convergence and improved generalization, whilst preserving the system of backpropagating errors throughthe network.

New algorithms for training feedforward

New algorithms for training feedforward neural networks

✍ Subhash Kak 📂 Article 📅 1994 🏛 Elsevier Science 🌐 English ⚖ 270 KB

A Hybrid Training Algorithm for Feedforw

A Hybrid Training Algorithm for Feedforward Neural Networks

✍ Mounir Ben Nasr; Mohamed Chtourou 📂 Article 📅 2006 🏛 Springer US 🌐 English ⚖ 136 KB

An improved training algorithm for feedf

An improved training algorithm for feedforward neural network learning based on terminal attractors

✍ Xinghuo Yu; Bin Wang; Batsukh Batbayar; Liuping Wang; Zhihong Man 📂 Article 📅 2010 🏛 Springer US 🌐 English ⚖ 592 KB