The nature of mathematical modeling
The nature of mathematical modeling
Simulating Neural Networks with Mathematica
Simulating Neural Networks with Mathematica
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Inference for the Generalization Error
Machine Learning
Information Theory, Inference & Learning Algorithms
Information Theory, Inference & Learning Algorithms
Mathematics and Computers in Simulation
Computers and Electronics in Agriculture
Computers and Electronics in Agriculture
Fuzzy filtering for robust bioconcentration factor modelling
Environmental Modelling & Software
Environmental Modelling & Software
Spatio-temporal Model Based on Back Propagation Neural Network for Regional Data in GIS
ISICA '09 Proceedings of the 4th International Symposium on Advances in Computation and Intelligence
Adaptive neuro-fuzzy inference systems for epidemiological analysis of soybean rust
Environmental Modelling & Software
A new method for semi-automatic fuzzy training and its application in environmental modeling
Environmental Modelling & Software
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In this paper two areas of soft computing (fuzzy modeling and artificial neural networks) are discussed. Based on the fundamental mathematical similarity of fuzzy techniques and radial basis function networks a new training algorithm for fuzzy models is introduced. A feed forward neural network (NN), a radial basis function network (RBF) and a trained fuzzy algorithm are compared for regional yield estimation of agricultural crops (winter rye, winter barley). As training pattern a data set from a training region (Maerkisch-Oderland district, Germany) and as test pattern a data set from a three times larger region were used. Specific advantages and disadvantages of these methods for the estimation of yield were discussed.