𝔖 Bobbio Scriptorium
✦   LIBER   ✦

A Lamarckian Hybrid of Differential Evolution and Conjugate Gradients for Neural Network Training

✍ Scribed by Krzysztof Bandurski; Wojciech Kwedlo

Publisher
Springer US
Year
2010
Tongue
English
Weight
407 KB
Volume
32
Category
Article
ISSN
1370-4621

No coin nor oath required. For personal study only.

πŸ“œ SIMILAR VOLUMES

A parallel algorithm for gradient traini
A parallel algorithm for gradient training of feedforward neural networks
✍ ZdenΔ›k HanzΓ‘lek πŸ“‚ Article πŸ“… 1998 πŸ› Elsevier Science 🌐 English βš– 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

Design and training of a neural network
Design and training of a neural network for predicting the solvent accessibility of proteins
✍ Shandar Ahmad; M. Michael Gromiha πŸ“‚ Article πŸ“… 2003 πŸ› John Wiley and Sons 🌐 English βš– 69 KB

## Abstract A feed‐forward neural network has been developed to predict the solvent accessibility/accessible surface area (ASA) of proteins using improved design and training methods. Several network issues ranging from the coding of ASA states to the problem of local minima of learning curve, have