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The Architectures of APS Learning Algorithms     This chapter describes the architectures of the learning algorithms used by APS 3.0 and teaches you how to explore them so that you can create models that are extremely accurate and robust. In this chapter, you'll learn about: The basic concepts and ideas of gene expression programming. The manipulation of random numerical constants in gene expression programming. The native language of gene expression programming. Home | Contents | Previous | Next