[Neural Networks: A Review from Statistical Perspective]: Comment
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This article is published in Statistical Science.The article was published on 1994-02-01 and is currently open access. It has received 8 citations till now. The article focuses on the topics: Artificial neural network & Perspective (graphical).read more
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Forecasting with artificial neural networks: the state of the art
TL;DR: In this paper, the authors present a state-of-the-art survey of ANN applications in forecasting and provide a synthesis of published research in this area, insights on ANN modeling issues, and future research directions.
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Metaheuristics: A bibliography
Ibrahim H. Osman,Gilbert Laporte +1 more
TL;DR: This bibliography provides a classification of a comprehensive list of 1380 references on the theory and application of metaheuristics that have had widespread successes in attacking a variety of difficult combinatorial optimization problems that arise in many practical areas.
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Information geometry of the EM and em algorithms for neural networks
TL;DR: A unified information geometrical framework for studying stochastic models of neural networks, by focusing on the EM and em algorithms, and proves a condition that guarantees their equivalence.
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Last-millennium summer-temperature variations in western Europe based on proxy data
Joel Guiot,Antoine Nicault,Cyrille B. K. Rathgeber,J. L. Edouard,Frédéric Guibal,G Pichard,C Till +6 more
TL;DR: In this article, a method of multiproxy reconstruction of the climate of Europe during the last millennium was presented, using a combination of an analogue technique, which is able to deal with missing data, an artificial neural network technique for an optimal nonlinear Calibration and a bootstrap technique for calculating error bars on the reconstruction.
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On neurobiological, neuro-fuzzy, machine learning, and statistical pattern recognition techniques
TL;DR: Two new neuro-fuzzy schemes, one for classification and one for clustering problems, are proposed that compare quite well with the existing techniques, and in addition offer the advantages of one-pass learning and online adaptation.