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User classes and characteristics

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  • Identify the product whose software requirements are specified in this document, including the revision or release number. Describe the scope of the product that is covered by this SRS, particularly if this SRS describes only part of the system or a single subsystem.

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  • A comprehensive introduction to the most popular class of neural network, the multilayer perceptron, showing how it can be used for system identification and control. The book provides readers with a sufficient theoretical background to understand the characteristics of different methods, and to be aware of the pit-falls so as to make the correct decisions in all situations. This is a very application-oriented text that gives detailed and pragmatic recommendations to guide users through the plethora of methods suggested in the literature.

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  • Following Frank/Massy/Wind25 , segmentation variables can be classified into general and product-specific consumer characteristics. General consumer characteristics are independent of products and circumstances, like demographic characteristics (age, family, family life cycle, size, gender, i ncome, occupation, religion, race, social class etc.), psychographic characteristics (lifestyle, personality etc.) or geographic charac- teristics (region, city or metro size, density, climate etc.

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  • TYPES 25 For user-defined classes, str and repr can be defined/redefined using the special operators str and repr . These are briefly described later on; for more, refer to the official Python documentation [38]. repr always has a default value. Another important characteristic of a Python string is that, like a list, it is an iterable object. 1 2 3 4 5 6 7 for i in 'hello': print i h e l l o list The main methods of a Python list are append, insert, and delete: 1 2 3 4 5 6 7 8 9 10 a = [1, 2, 3] print type(a)...

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