It takes the average reader 1 hour and 54 minutes to read Intelligent Systems: Approximation by Artificial Neural Networks by George A. Anastassiou
Assuming a reading speed of 250 words per minute. Learn more
This brief monograph is the first one to deal exclusively with the quantitative approximation by artificial neural networks to the identity-unit operator. Here we study with rates the approximation properties of the "right" sigmoidal and hyperbolic tangent artificial neural network positive linear operators. In particular we study the degree of approximation of these operators to the unit operator in the univariate and multivariate cases over bounded or unbounded domains. This is given via inequalities and with the use of modulus of continuity of the involved function or its higher order derivative. We examine the real and complex cases. For the convenience of the reader, the chapters of this book are written in a self-contained style. This treatise relies on author's last two years of related research work. Advanced courses and seminars can be taught out of this brief book. All necessary background and motivations are given per chapter. A related list of references is given also per chapter. The exposed results are expected to find applications in many areas of computer science and applied mathematics, such as neural networks, intelligent systems, complexity theory, learning theory, vision and approximation theory, etc. As such this monograph is suitable for researchers, graduate students, and seminars of the above subjects, also for all science libraries.
Intelligent Systems: Approximation by Artificial Neural Networks by George A. Anastassiou is 113 pages long, and a total of 28,589 words.
This makes it 38% the length of the average book. It also has 35% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 2 hours and 36 minutes to read Intelligent Systems: Approximation by Artificial Neural Networks aloud.
Intelligent Systems: Approximation by Artificial Neural Networks is suitable for students ages 10 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.
Intelligent Systems: Approximation by Artificial Neural Networks by George A. Anastassiou is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.
To buy Intelligent Systems: Approximation by Artificial Neural Networks by George A. Anastassiou on Amazon click the button below.
Buy Intelligent Systems: Approximation by Artificial Neural Networks on Amazon