Fuzzy Neural Network Theory and Application (Series in Machine Perception and Artificial Intelligence)

Jul 4

Artificial Intelligence, computational intelligence, Computer Application, Computer Engineering, Neural network, Programming

Ebook Free Download | Fuzzy Neural Network Theory and Application (Series in Machine Perception and Artificial Intelligence) | As information techniques including their theory and applications develop further, the studying objects related have become highly nonlinear and complicated systems, in which natural linguistic information and data information coexist.
In practice, a biological control mechanism can carry out complex tasks without having to develop some mathematical models, and without solving any complex integral, differential or any other types of mathematical equations. However, it is extremely difficult to make an artificial mobile robot to perform the same tasks with vague and imprecise information for the robot involves a fusion of most existing control techniques, such as adaptive control, knowledge-based engineering, fuzzy logic and neural computation and so on. To simulate biological control mechanisms, efficiently and to understand biological computational power, thoroughly a few of powerful fields in modern technology have recently emerged. Those techniques take their source at Zadeh’s soft data analysis, fuzzy logic and neural networks together with genetic algorithm and probabilistic reasoning. The soft computing techniques can provide us with an efficient computation tool to deal with the highly nonlinear and complicated systems

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