Pages that link to "Item:Q1398936"
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The following pages link to Construction of fuzzy systems using least-squares method and genetic algorithm. (Q1398936):
Displaying 15 items.
- An alternative approach for generation of membership functions and fuzzy rules based on radial and cubic basis function networks (Q678777) (← links)
- Design of a genetic-fuzzy system to predict surface finish and power requirement in grinding (Q703339) (← links)
- Function estimation using a neural-fuzzy network and an improved genetic algorithm (Q707238) (← links)
- Genetic learning of fuzzy controllers (Q1300491) (← links)
- A simple algorithm for training fuzzy systems using input--output data (Q1400446) (← links)
- Neurofuzzy adaptive B-spline circuit performance modelling aided by means of genetic algorithm (Q1596440) (← links)
- How to determine the minimum number of fuzzy rules to achieve given accuracy: a computational geometric approach to SISO case (Q1770724) (← links)
- A GA-based neural fuzzy system for temperature control (Q1885749) (← links)
- The design of beta basis function neural network and beta fuzzy systems by a hierarchical genetic algorithm (Q2386227) (← links)
- Interaction analysis for MIMO nonlinear systems based on a fuzzy basis function network model (Q2458671) (← links)
- Sequential adaptive fuzzy inference system (SAFIS) for nonlinear system identification and prediction (Q2492365) (← links)
- Fast fuzzy orthogonal least square algorithm. (Q2785171) (← links)
- Nonlinear discrete time optimal control based on Fuzzy Models (Q2953539) (← links)
- Constrained evolutionary computing approach to Web service compositions (Q4909000) (← links)
- Computational Science – ICCS 2005 (Q5709651) (← links)
