Assembler Encoding represents Artificial Neural Network in a form of a simple program called Assembler Encoding Program. The task of the program is to create the so-called Network Definition Matrix which maintains all the information necessary to construct a neural network. To generate Assembler Encoding Programs and in consequence neural networks evolutionary techniques are used. The paper addresses the problem of creating modular neural networks in Assembler Encoding. The paper discusses different methods used in Assembler Encoding for this purpose. The methods are described and analyzed in terms of their effectiveness and frequency of use in Assembler Encoding Programs.