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NECO
2006
103views more  NECO 2006»
13 years 7 months ago
Optimal Spike-Timing-Dependent Plasticity for Precise Action Potential Firing in Supervised Learning
In timing-based neural codes, neurons have to emit action potentials at precise moments in time. We use a supervised learning paradigm to derive a synaptic update rule that optimi...
Jean-Pascal Pfister, Taro Toyoizumi, David Barber,...
SEMCCO
2010
13 years 5 months ago
Differential Evolution Algorithm with Ensemble of Parameters and Mutation and Crossover Strategies
Differential Evolution (DE) has attracted much attention recently as an effective approach for solving numerical optimization problems. However, the performance of DE is sensitive ...
Rammohan Mallipeddi, Ponnuthurai Nagaratnam Sugant...
CIA
1998
Springer
13 years 11 months ago
Strategies for Querying Information Agents
In a simple cooperative MAS model where a collection of "querying agents" can send queries to a collection of "information agents", we formalize the problem of ...
Prasad Chalasani, Somesh Jha, Onn Shehory, Katia P...
FUZZY
1994
Springer
194views Fuzzy Logic» more  FUZZY 1994»
13 years 11 months ago
Improving a Fuzzy Inference System by Means of Evolution Strategy
In this paper, evolution strategy is applied in order to improve the time series prediction accuracy of a Sugeno and Takagi type fuzzy inference system FIS. The presented approach...
Willfried Wienholt
GECCO
2008
Springer
179views Optimization» more  GECCO 2008»
13 years 8 months ago
A hybrid method for tuning neural network for time series forecasting
This paper presents an study about a new Hybrid method GRASPES - for time series prediction, inspired in F. Takens theorem and based on a multi-start metaheuristic for combinatori...
Aranildo Rodrigues Lima Junior, Tiago Alessandro E...