✦ LIBER ✦

Training neural networks with harmony search algorithms for classification problems

✍ Scribed by Sinem Kulluk; Lale Ozbakir; Adil Baykasoglu

Book ID: 113601749
Publisher: Elsevier Science
Year: 2012
Tongue: English
Weight: 413 KB
Volume: 25
Category: Article
ISSN: 0952-1976
DOI: 10.1016/j.engappai.2011.07.006

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Novel Algorithms for Noisy Minimization

Novel Algorithms for Noisy Minimization Problems with Applications to Neural Networks Training

✍ K. Sirlantzis; J. D. Lamb; W. B. Liu 📂 Article 📅 2006 🏛 Springer 🌐 English ⚖ 188 KB

Modified Harmony Search Algorithm and Ne

Modified Harmony Search Algorithm and Neural Networks for Concrete Mix Proportion Design

✍ Lee, Joo-Ha; Yoon, Young-Soo 📂 Article 📅 2009 🏛 American Society of Civil Engineers 🌐 English ⚖ 98 KB

A scatter-search-based learning algorith

A scatter-search-based learning algorithm for neural network training

✍ James P. Kelly; Balasubramanian Rangaswamy; Jiefeng Xu 📂 Article 📅 1996 🏛 Springer US 🌐 English ⚖ 931 KB

Two corner classification algorithms for

Two corner classification algorithms for training the Kak feedforward neural network

✍ Kedar Babu Madineni 📂 Article 📅 1994 🏛 Elsevier Science 🌐 English ⚖ 327 KB

Self-adaptation algorithm for neural net

Self-adaptation algorithm for neural networks with search behavior

✍ T. F. Baskanova; Yu. P. Lankin 📂 Article 📅 2000 🏛 Springer 🌐 English ⚖ 289 KB

Hybridizing harmony search algorithm wit

Hybridizing harmony search algorithm with sequential quadratic programming for engineering optimization problems

✍ M. Fesanghary; M. Mahdavi; M. Minary-Jolandan; Y. Alizadeh 📂 Article 📅 2008 🏛 Elsevier Science 🌐 English ⚖ 779 KB

This study presents a hybrid harmony search algorithm (HHSA) to solve engineering optimization problems with continuous design variables. Although the harmony search algorithm (HSA) has proven its ability of finding near global regions within a reasonable time, it is comparatively inefficient in per