✦ LIBER ✦

A novel compensation-based recurrent fuzzy neural network and its learning algorithm

✍ Scribed by Bo Wu; Ke Wu; JianHong Lü

Publisher: Science in China Press (SCP)
Year: 2009
Tongue: English
Weight: 600 KB
Volume: 52
Category: Article
ISSN: 1674-733X
DOI: 10.1007/s11432-009-0002-3

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

A novel evolution learning for recurrent

A novel evolution learning for recurrent wavelet-based neuro-fuzzy networks

✍ Cheng-Jian Lin; Yong-Ji Xu 📂 Article 📅 2005 🏛 Springer 🌐 English ⚖ 293 KB

A genetic algorithm with deterministic m

A genetic algorithm with deterministic mutation based on neural network learning

✍ Minoru Fukumi; Norio Akamatsu 📂 Article 📅 1998 🏛 John Wiley and Sons 🌐 English ⚖ 189 KB 👁 2 views

This paper presents a method for designing neural networks using a genetic algorithm (GA) with deterministic mutation (DM) based on learning. The GA presented in this paper has a large framework including DM, which is performed on the basis of the results from neural network learning. It can achieve

A novel recurrent neural network-based p

A novel recurrent neural network-based prediction system for option trading and hedging

✍ C. Quek; M. Pasquier; N. Kumar 📂 Article 📅 2007 🏛 Springer US 🌐 English ⚖ 626 KB

Multilayer Feedforward Neural Network Ba

Multilayer Feedforward Neural Network Based on Multi-valued Neurons (MLMVN) and a Backpropagation Learning Algorithm

✍ Igor Aizenberg; Claudio Moraga 📂 Article 📅 2006 🏛 Springer 🌐 English ⚖ 396 KB

A control strategy for leveling load pow

A control strategy for leveling load power fluctuations with a successive learning fuzzy-neural network based on prediction of average load power

✍ Toshinori Fujii; Shigeyuki Funabiki 📂 Article 📅 1997 🏛 John Wiley and Sons 🌐 English ⚖ 957 KB