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Intelligent Numerical Computation1 Center:Width:
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Intelligent Numerical Computation2 Radial basis function network
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Intelligent Numerical Computation3 Find an interpolation function with N RBFs
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Intelligent Numerical Computation4 Or Solve
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Intelligent Numerical Computation5 A class of RBFs
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Intelligent Numerical Computation6 Generalization to multi-dimensional target Interpolation conditions Interpolation function
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Intelligent Numerical Computation7 M<<N Adapted by an algorithm A bias
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Intelligent Numerical Computation8 A RBF network Or in matrix
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Intelligent Numerical Computation9 Universal approximation
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Intelligent Numerical Computation10 Extended basis functions
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Intelligent Numerical Computation11 where
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Intelligent Numerical Computation12 Minimize the cost function
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Intelligent Numerical Computation13
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Intelligent Numerical Computation14 I
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Intelligent Numerical Computation15 Advanced clustering algorithms II LVQ III K-means algorithm IV Kohonen self-organizing algorithm
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Intelligent Numerical Computation16 to where
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Intelligent Numerical Computation17 Assignment #3 Implement a training algorithm for a RBF network Multi-dimensional input space One-dimensional output space You can select supervised training or two-stage training or more advanced training algorithm Your program should be able to read a training file and a testing file to evaluate performance. The last column of the training file will be the desired output.
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Intelligent Numerical Computation18 Variants
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Intelligent Numerical Computation19 Model size vs generalization Minimal model size and maximal generalization
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Intelligent Numerical Computation20 Applications http://lib.stat.cmu.edu/datasets/ http://www.cs.toronto.edu/~delve/data/datasets.html http://www.phys.uni.torun.pl/neural/node12.html Radial basis function interpolation for 3-D ultrasound http://svr-www.eng.cam.ac.uk/~ahg/rnr20/publications.html
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