Artificial Neural Networks - Methodological Advances and Biomedical Applications
Artificial Neural Networks (ANN) may probably be the single most successful technology in the last two decades which has been widely used in a large variety of applications in various areas. The purpose of this book is to provide recent advances of artificial neural networks in biomedical applications.
The book begins with fundamentals of artificial neural networks, which cover an introduction, design, and optimization. Advanced architectures for biomedical applications, which offer improved performance and desirable properties, follow. Parts continue with biological applications such as gene, plant biology, and stem cell, medical applications such as skin diseases, sclerosis, anesthesia, and physiotherapy, and clinical and other applications such as clinical outcome, telecare, and pre-med student failure prediction. Thus, this book will be a fundamental source of recent advances and applications of artificial neural networks in biomedical areas. The target audience includes professors and students in engineering and medical schools, researchers and engineers in biomedical industries, medical doctors, and healthcare professionals.
| Pages : | 362 pages |
| Size : | PDF files |
| File type : | |
| Downloads: | 19 |
| Created: | 2020-08-28 |
| License: | Attribution 3.0 Unported (CC BY 3.0) |
| Author(s): | Kenji Suzuki |
Others Neural networks Tutorials
Neural Networks and Deep Learning
Artificial Neural Networks - Architectures and Applications
Others related eBooks about Artificial Neural Networks - Methodological Advances and Biomedical Applications
: Advanced RIt is impossible to become expert in R in only one training course. Yet, this course aims at giving a wide understanding of many aspects of R. Some external resources will be referred to in this book for you to be able to deepen what you would have learned in this course....
GUI Design for Android AppsGUI Design for Android Apps is the perfect - and concise - introduction for mobile app developers and designers. Through easy-to-follow tutorials, code samples, and case studies, the book shows the must-know principles for user-interface design for Android apps running on the Intel platform, includi...
Tutorial Maya in PDFDownload free Maya tutorial course in PDF, training file in 7 chapters and 23 pages. Free unaffiliated ebook created from Stack OverFlow contributor....
Learning Perl Through ExamplesDownload tutorial intituled Learning Perl Through Examples, it's a free training document under 72 pages by Yun Shen....
Learning React NativeReact Native is an open-source mobile application framework created by Facebook. It is an ..., download free React Native tutorial in PDF (101 pages) created by ....
Modern C PDF bookThis book teaches you to take your C programming skills to new heights, whether you're just starting out with C or have more extensive experience. Organized by level, this comprehensive guide lets you jump in where it suits you best while still reaping the maximum benefits....
Essential RubyThis book written to provide clear and concise explanation of topics for programmers both starting to learn the Ruby programming language as well as those diving in more complex topics. Most examples are linked to online playground that allows you to change the code and re-run it....
Prolog tutorial in PDFDownload free Prolog tutorial course in PDF, training file in 17 chapters and 51 pages. Free unaffiliated ebook created from Stack OverFlow contributor....
Think DSP: Digital Signal Processing in PythonThis book is an introduction to signal processing and system analysis using a computational approach, using Python as the programming language. The premise of this book (like the others in the Think X series) is that if you know how to program, you can use that skill to learn other things. By the ...
XcalableMP PGAS Programming LanguageDownload free course XcalableMP PGAS Programming Language, pdf file on 265 pages by Mitsuhisa Sato....