Changes between Version 20 and Version 21 of UsersSamples
 Timestamp:
 02/18/11 13:19:57 (13 years ago)
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UsersSamples
v20 v21 251 251 === Genetic programming  Symbolic Regression (Tower)=== 252 252 [attachment:SGP_SymbReg.hl] 253 Example for a simple genetic programming algorithm to create a regression model for the estimation of a product quality parameter in an industrial chemical process. The original dataset was downloaded from http://vanillamodeling.com/realproblems.html. 253 254 Example for a simple genetic programming algorithm to create a regression model for the estimation of a product quality parameter in an industrial chemical process. The original dataset was downloaded from http://vanillamodeling.com/realproblems.html. 255 256 * Population size: 500 257 * Generations: 100 258 * Tournament selection: group size=7 259 * Mutation rate: 15% 260 * Function set: +, *, , /, average, log, power, root, exponential 261 * Terminal set: constants, x01, x02, x03, x04, x05, x06, x08, x09, x10, x12, x14, x15, x17, x18, x19, x20, x22, x23, x24 262 * Fitness function: R² of predicted and original tower response 254 263 255 264  … … 257 266 [=#GPSymbolicRegressionMackeyGlass] 258 267 === Genetic programming  Symbolic Regression (MackeyGlass)=== 268 [attachement:SGP_SymbRegMackeyGlass.hl] 269 270 Example for a simple genetic programming algorithm to create a dynamic model for the onestep prediction of the chaotic Mackey Glass (T=17) time series. The original dataset was downloaded from http://www.bme.ogi.edu/~ericwan/data.html. 271 272 * Population size: 500 273 * Generations: 100 274 * Tournament selection: group size=7 275 * Mutation rate: 15% 276 * Function set: +, *, , /, average, log, power, root, exponential 277 * Terminal set: constants, x(t90) .. x(t1) 278 * Fitness function: R²(xPred(t), xOrig(t)) 279 280 259 281  260 282 … … 262 284 === Genetic programming  Symbolic Classification (Wisconsin)=== 263 285 [attachment:SGP_ClassificationWDPC.hl] 286 264 287 Example for a simple genetic programming algorithm to create a classification model for the estimation of malignant or benign tumor diagnosis based on features extracted through analysis of tumorous cells in a tissue sample. The original dataset was downloaded from the UCI Machine Learning Repository (http://archive.ics.uci.edu/ml/datasets/Breast+Cancer+Wisconsin+(Diagnostic)). The algorithm uses all available GP manipulation operators, singlepoint crossover and squared Pearson's correlation coefficient evaluation. 265 288 … … 271 294 === Genetic programming  Symbolic Classification (Mammography)=== 272 295 [attachment:SGP_SymbClassMammographic.hl] 296 273 297 A genetic programming algorithm to create a classification model for the prediction of malignant or benign tumor diagnosis based on features extracted through a noninvasive mammography breast cancer screening. Original dataset stems from the UCI Machine Learning Repository (http://archive.ics.uci.edu/ml/datasets/Mammographic+Mass). 274 298 … … 278 302 === Genetic Programming  Even Parity (4 inputs) === 279 303 [attachment:SGP_BooleanEvenParity4.hl] 304 280 305 A genetic programming algorithm to synthesize the boolean even parity function with 4 binary inputs 281 306 … … 297 322 === Genetic Programming  Multiplexer (11 inputs === 298 323 [attachment:SGP_BooleanMultiplexer11.hl] 324 299 325 A genetic programming algorithm to synthesize the boolean multiplexer function with 11 binary inputs 300 326