It takes the average reader 4 hours and 5 minutes to read Neural Networks for Identification, Prediction and Control by Duc T. Pham
Assuming a reading speed of 250 words per minute. Learn more
In recent years, there has been a growing interest in applying neural networks to dynamic systems identification (modelling), prediction and control. Neural networks are computing systems characterised by the ability to learn from examples rather than having to be programmed in a conventional sense. Their use enables the behaviour of complex systems to be modelled and predicted and accurate control to be achieved through training, without a priori information about the systems' structures or parameters. This book describes examples of applications of neural networks In modelling, prediction and control. The topics covered include identification of general linear and non-linear processes, forecasting of river levels, stock market prices and currency exchange rates, and control of a time-delayed plant and a two-joint robot. These applications employ the major types of neural networks and learning algorithms. The neural network types considered in detail are the muhilayer perceptron (MLP), the Elman and Jordan networks and the Group-Method-of-Data-Handling (GMDH) network. In addition, cerebellar-model-articulation-controller (CMAC) networks and neuromorphic fuzzy logic systems are also presented. The main learning algorithm adopted in the applications is the standard backpropagation (BP) algorithm. Widrow-Hoff learning, dynamic BP and evolutionary learning are also described.
Neural Networks for Identification, Prediction and Control by Duc T. Pham is 243 pages long, and a total of 61,479 words.
This makes it 82% the length of the average book. It also has 75% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 5 hours and 35 minutes to read Neural Networks for Identification, Prediction and Control aloud.
Neural Networks for Identification, Prediction and Control is suitable for students ages 12 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
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