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Evolving Neural-Symbolic Systems Guided by Adaptive Training Schemes: Applications in Finance., и . Appl. Artif. Intell., 21 (7): 681-706 (2007)Forecast of Short Term Trends in Stock Exchange using Fuzzy Rules and Neural Networks on Multiresolution Processed Signals., , и . Advances in Computational Intelligence and Learning, стр. 263-280. Kluwer, (2002)Evolving Takagi-Sugeno-Kang Fuzzy Systems using Multi Population Grammar-Guided Genetic Programming., и . IJCCI (ECTA-FCTA), стр. 278-281. SciTePress, (2011)Application of Genetic Programming in Software Engineering Empirical Data Modelling., и . ICSOFT (PL/DPS/KE), стр. 295-300. INSTICC Press, (2008)Fuzzy Base Predictor Outputs as Conditional Selectors for Evolved Combined Prediction System., и . IJCCI, стр. 34-41. SciTePress, (2012)Effective Business Plan Evaluation using an Evolutionary Ensemble., , , и . DATA, стр. 97-103. SciTePress, (2013)Computational Intelligence based analysis of dMRI, for Detection of Spinal Bone Marrow Malignancies, , , , , , и . XVII Symposium Neuroradiologicum, Paris, (18-24 August 2002)An Architecture-Altering and Training Methodology for Neural Logic Networks: Application in the Banking Sector., и . ANNIIP, стр. 82-93. INSTICC Press, (2005)Local and global optimization for Takagi-Sugeno fuzzy system by memetic genetic programming.. Expert Syst. Appl., 40 (8): 3282-3298 (2013)Predicting Defects in Software Using Grammar-Guided Genetic Programming., и . SETN, том 5138 из Lecture Notes in Computer Science, стр. 413-418. Springer, (2008)