How Long to Read Information-Theoretic Aspects of Neural Networks

How Long Does it Take to Read Information-Theoretic Aspects of Neural Networks?

It takes the average reader 3 hours and 55 minutes to read Information-Theoretic Aspects of Neural Networks by P. S. Neelakanta

Assuming a reading speed of 250 words per minute. Learn more

Description

Information theoretics vis-a-vis neural networks generally embodies parametric entities and conceptual bases pertinent to memory considerations and information storage, information-theoretic based cost-functions, and neurocybernetics and self-organization. Existing studies only sparsely cover the entropy and/or cybernetic aspects of neural information. Information-Theoretic Aspects of Neural Networks cohesively explores this burgeoning discipline, covering topics such as: Shannon information and information dynamics neural complexity as an information processing system memory and information storage in the interconnected neural web extremum (maximum and minimum) information entropy neural network training non-conventional, statistical distance-measures for neural network optimizations symmetric and asymmetric characteristics of information-theoretic error-metrics algorithmic complexity based representation of neural information-theoretic parameters genetic algorithms versus neural information dynamics of neurocybernetics viewed in the information-theoretic plane nonlinear, information-theoretic transfer function of the neural cellular units statistical mechanics, neural networks, and information theory semiotic framework of neural information processing and neural information flow fuzzy information and neural networks neural dynamics conceived through fuzzy information parameters neural information flow dynamics informatics of neural stochastic resonance Information-Theoretic Aspects of Neural Networks acts as an exceptional resource for engineers, scientists, and computer scientists working in the field of artificial neural networks as well as biologists applying the concepts of communication theory and protocols to the functioning of the brain. The information in this book explores new avenues in the field and creates a common platform for analyzing the neural complex as well as artificial neural networks.

How long is Information-Theoretic Aspects of Neural Networks?

Information-Theoretic Aspects of Neural Networks by P. S. Neelakanta is 233 pages long, and a total of 58,949 words.

This makes it 79% the length of the average book. It also has 72% more words than the average book.

How Long Does it Take to Read Information-Theoretic Aspects of Neural Networks Aloud?

The average oral reading speed is 183 words per minute. This means it takes 5 hours and 22 minutes to read Information-Theoretic Aspects of Neural Networks aloud.

What Reading Level is Information-Theoretic Aspects of Neural Networks?

Information-Theoretic Aspects of Neural Networks 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.

Where Can I Buy Information-Theoretic Aspects of Neural Networks?

Information-Theoretic Aspects of Neural Networks by P. S. Neelakanta is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

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