Application of neural networks and fuzzy logic to consumer products

The author describes how neural networks and fuzzy logic have been applied to consumer products. First, the background behind why both technologies have been applied to this field is presented. Second, a brief overview of the fusion technology of neural networks and fuzzy logic is given. As a good example of the R&D process, the application of neural nets to the design and tuning of fuzzy systems is introduced. Applications of the two technologies are classified into five cases: (1) neural networks being used to automate the task of designing and fine tuning the membership functions of fuzzy systems; (2) both fuzzy inference and neural network learning capabilities provided separately; (3) neural networks working as correcting mechanisms for fuzzy systems; (4) neural networks cascaded (serially) with fuzzy systems; and (5) neural networks used to customize the standard system according to each user's preferences and individual needs. Finally, a new trend involving the realization of adaptive systems for the user is discussed.<<ETX>>