✦ LIBER ✦

TInMANN - The Integer Markovian Artificial Neural Network for Performing Competitive and Kohonen Learning

✍ Scribed by D.E. Vandenbout; T.K. Miller

Book ID: 102974695
Publisher: Elsevier Science
Year: 1995
Tongue: English
Weight: 602 KB
Volume: 25
Category: Article
ISSN: 0743-7315
DOI: 10.1006/jpdc.1995.1033

No coin nor oath required. For personal study only.

✦ Synopsis

A massively parallel, all-digital, stochastic architecture-TInMANN-is described which performs competitive and Kohonen types of learning at rates as high as 145,000 training examples per second regardless of network size. While composed of very simple neural processing elements, simulations of TInMANN demonstrate its effectiveness on a number of competitive and Kohonen learning problems. 1995 Academic Press, Inc.

📜 SIMILAR VOLUMES

The influence of initial parameters on t

The influence of initial parameters on the learning behavior and performance of an artificial neural network

✍ Willem R.M. Dassen; Rob G.A. Mulleneers; Karel den Dulk; Hein J.J. Wellens 📂 Article 📅 1992 🏛 Elsevier Science 🌐 English ⚖ 97 KB

A competitive learning neural network fo

A competitive learning neural network for auditory information processing using the pulsed neuron model

✍ Susumu Kuroyanagi; Akira Iwata 📂 Article 📅 2005 🏛 John Wiley and Sons 🌐 English ⚖ 740 KB

A multi-objective memetic and hybrid met

A multi-objective memetic and hybrid methodology for optimizing the parameters and performance of artificial neural networks

✍ Leandro M. Almeida; Teresa B. Ludermir 📂 Article 📅 2010 🏛 Elsevier Science 🌐 English ⚖ 239 KB

Comparison of clinicians and an artifici

Comparison of clinicians and an artificial neural network regarding accuracy and certainty in performance of visual field assessment for the diagnosis of glaucoma

✍ Sabina Andersson; Anders Heijl; Dimitrios Bizios; Boel Bengtsson 📂 Article 📅 2012 🏛 Wiley (Blackwell Publishing) 🌐 English ⚖ 245 KB

A simulation study comparing the impact

A simulation study comparing the impact of experimental error on the performance of experimental designs and artificial neural networks used for process screening

✍ Marcelo Abel Soria; Jose Luis Gonzalez Funes; Augusto Fernando Garcia 📂 Article 📅 2004 🏛 Springer-Verlag 🌐 English ⚖ 214 KB

Simulation and prediction for the effect

Simulation and prediction for the effect of natural and steel fibers on the performance of concrete using experimental analyses and artificial neural networks numerical modeling

✍ Hossam Hodhod; Mostafa A. M. Abdeen 📂 Article 📅 2011 🏛 Korean Society of Civil Engineers 🌐 English ⚖ 730 KB