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STOC
1993
ACM
141views Algorithms» more  STOC 1993»
15 years 6 months ago
Bounds for the computational power and learning complexity of analog neural nets
Abstract. It is shown that high-order feedforward neural nets of constant depth with piecewisepolynomial activation functions and arbitrary real weights can be simulated for Boolea...
Wolfgang Maass
ISNN
2007
Springer
15 years 8 months ago
Pattern-Oriented Agent-Based Modeling for Financial Market Simulation
The paper presents a pattern-oriented agent-based model to simulate the dynamics of a stock market. The model generates satisfactory market macro-level trend and volatility while t...
Chi Xu, Zheru Chi
EVOW
2009
Springer
15 years 8 months ago
Predicting Turning Points in Financial Markets with Fuzzy-Evolutionary and Neuro-Evolutionary Modeling
Two independent evolutionary modeling methods, based on fuzzy logic and neural networks respectively, are applied to predicting trend reversals in financial time series, and their...
Antonia Azzini, Célia da Costa Pereira, And...
EUSFLAT
2007
183views Fuzzy Logic» more  EUSFLAT 2007»
15 years 3 months ago
Soft Computing in Wireless Sensors Networks
The embedded soft computing approach in wireless sensor networks is suggested. This approach means a combination of embedded fuzzy logic and neural networks models for information...
Alexey N. Averkin, A. G. Belenki
CSL
2007
Springer
15 years 1 months ago
Articulatory feature recognition using dynamic Bayesian networks
This paper describes the use of dynamic Bayesian networks for the task of articulatory feature recognition. We show that by modeling the dependencies between a set of 6 multi-leve...
Joe Frankel, Mirjam Wester, Simon King