How Long to Read Evolutionary Approach to Machine Learning and Deep Neural Networks

How Long Does it Take to Read Evolutionary Approach to Machine Learning and Deep Neural Networks?

It takes the average reader 4 hours and 9 minutes to read Evolutionary Approach to Machine Learning and Deep Neural Networks by Hitoshi Iba

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

Description

This book provides theoretical and practical knowledge about a methodology for evolutionary algorithm-based search strategy with the integration of several machine learning and deep learning techniques. These include convolutional neural networks, Gröbner bases, relevance vector machines, transfer learning, bagging and boosting methods, clustering techniques (affinity propagation), and belief networks, among others. The development of such tools contributes to better optimizing methodologies. Beginning with the essentials of evolutionary algorithms and covering interdisciplinary research topics, the contents of this book are valuable for different classes of readers: novice, intermediate, and also expert readers from related fields. Following the chapters on introduction and basic methods, Chapter 3 details a new research direction, i.e., neuro-evolution, an evolutionary method for the generation of deep neural networks, and also describes how evolutionary methods are extended in combination with machine learning techniques. Chapter 4 includes novel methods such as particle swarm optimization based on affinity propagation (PSOAP), and transfer learning for differential evolution (TRADE), another machine learning approach for extending differential evolution. The last chapter is dedicated to the state of the art in gene regulatory network (GRN) research as one of the most interesting and active research fields. The author describes an evolving reaction network, which expands the neuro-evolution methodology to produce a type of genetic network suitable for biochemical systems and has succeeded in designing genetic circuits in synthetic biology. The author also presents real-world GRN application to several artificial intelligent tasks, proposing a framework of motion generation by GRNs (MONGERN), which evolves GRNs to operate a real humanoid robot.

How long is Evolutionary Approach to Machine Learning and Deep Neural Networks?

Evolutionary Approach to Machine Learning and Deep Neural Networks by Hitoshi Iba is 245 pages long, and a total of 62,475 words.

This makes it 83% the length of the average book. It also has 76% more words than the average book.

How Long Does it Take to Read Evolutionary Approach to Machine Learning and Deep Neural Networks Aloud?

The average oral reading speed is 183 words per minute. This means it takes 5 hours and 41 minutes to read Evolutionary Approach to Machine Learning and Deep Neural Networks aloud.

What Reading Level is Evolutionary Approach to Machine Learning and Deep Neural Networks?

Evolutionary Approach to Machine Learning and Deep 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 Evolutionary Approach to Machine Learning and Deep Neural Networks?

Evolutionary Approach to Machine Learning and Deep Neural Networks by Hitoshi Iba is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

To buy Evolutionary Approach to Machine Learning and Deep Neural Networks by Hitoshi Iba on Amazon click the button below.