ESANN 2001 - PDF Preprint Papers

ESANN 2001

Teaser Browsing | Click Here

Title Browsing | Click Here

Wall of Fame | Most Viewed ESANN-2001 Paper

click to vote

ESANN
2001

162views Neural Networks» more ESANN 2001»

A divide-and-conquer learning architecture for predicting unknown motion

13 years 5 months ago

Download www.dice.ucl.ac.be

Time varying environments or model selection problems lead to crucial dilemmas in identification and control science. In this paper, we propose a modular prediction scheme consisti...

Patrice Wira, Jean-Philippe Urban, Julien Gresser

claim paper

Read More »

Disclaimer and Copyright Notice

Sciweavers respects the rights of all copyright holders and in this regard, authors are only allowed to share a link to their preprint paper on their own website. Every contribution is associated with a desciptive image. It is the sole responsibility of the authors to ensure that their posted image is not copyright infringing. This service is compliant with IEEE copyright.

Id	Views	Title	Status

1	162	A divide-and-conquer learning architecture for predicting unknown motion	claim
2	149	Constructive density estimation network based on several different separable transfer functions	claim
3	143	Transfer functions: hidden possibilities for better neural networks	claim
4	142	CMOS design of focal plane programmable array processors	claim
5	141	Canonical correlation analysis in early vision processing	claim
6	139	Applications of neuro-fuzzy classification, evaluation and forecasting techniques in agriculture	claim
7	129	Penalized least squares, model selection, convex hull classes and neural nets	claim
8	124	Estimation of Hybrid HMM/MLP models	claim
9	120	Prediction of foreign exchange rates by neural network and fuzzy system based techniques	claim
10	116	Learning fault-tolerance in Radial Basis Function Networks	claim
11	113	Graph extraction from color images	claim
12	108	An integrated neural IR system	claim
13	107	Matching analogue hardware with applications using the Products of Experts algorithm	claim
14	105	Input data reduction for the prediction of financial time series	claim
15	103	Intelligent hardware for identification and control of non-linear systems with SVM	claim
16	103	Weight initialization methods for multilayer feedforward	claim
17	102	Some known facts about financial data	claim
18	102	Rectified Gaussian distributions and the formation of local filters from video data	claim
19	100	Optimal transfer function neural networks	claim
20	100	Multiple Layer Perceptron training using genetic algorithms	claim
21	96	The synergy between multideme genetic algorithms and fuzzy systems	claim
22	88	Visual self-localization with morphological neural networks	claim
23	86	A computational model of monkey grating cells for oriented repetitive alternating patterns	claim
24	84	Motor control and movement optimization learned by combining auto-imitative and genetic algorithms	claim
25	79	A novel chaotic neural network architecture	claim
26	76	Coding the outputs of multilayer feedforward	claim
27	73	A stochastic and competitive network for the separation of sources	claim

Sciweavers

Explore & Download

Productivity Tools

Document Tools

Image Tools

Sciweavers