Geo.Engineerings

Phil Kim ... 151 pages - Publisher: Apress; (June, 2017) ... Language: English - ISBN-10: 1484228448 - ISBN-13: 978-1484228449.

Get started with MATLAB for deep learning and AI with this in-depth primer. In this book, you start with machine learning fundamentals, then move on to neural networks, deep learning, and then convolutional neural networks. In a blend of fundamentals and applications, MATLAB Deep Learning employs MATLAB as the underlying programming language and tool for the examples and case studies in this book. With this book, you'll be able to tackle some of today's real world big data, smart bots, and other complex data problems. You’ll see how deep learning is a complex and more intelligent aspect of machine learning for modern smart data analysis and usage.

What You'll Learn: Use MATLAB for deep learning * Discover neural networks and multi-layer neural networks * Work with convolution and pooling layers * Build a MNIST example with these layers. Who This Book Is For: Those who want to learn deep learning using MATLAB. Some MATLAB experience may be useful.

This volume presents examples of how ANNs are applied in biological sciences and related areas. Chapters focus on the analysis of intracellular sorting information, prediction of the behavior of bacterial communities, biometric authentication, studies of Tuberculosis, gene signatures in breast cancer classification, use of mass spectrometry in metabolite identification, visual navigation, and computer diagnosis. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, application details for both the expert and non-expert reader, and tips on troubleshooting and avoiding known pitfalls. Authoritative and practical, Artificial Neural Networks: Second Edition aids scientists in continuing to study Artificial Neural Networks (ANNs).

Victor Kaliakin ... 462 pages - Publisher: Butterworth-Heinemann; 1st edition (February, 2017) ... Language: English - ISBN-10: 0128044918 - ISBN-13: 978-0128044919 ... 

Soil Mechanics: Calculations, Principles, and Methods provides expert insights into the nature of soil mechanics through the use of calculation and problem-solving techniques. This informed reference begins with basic principles and calculations, illustrating physical meanings of the unit weight of soil, specific gravity, water content, void ratio, porosity, saturation, and their typical values. This is followed by calculations that illustrate the need for soil identification, classification, and ways to obtain soil particle size distribution, including sizes smaller than 0.075 mm, performance, and the use of liquid and plastic limit tests. The book goes on to provide expert coverage regarding the use of soil identification and classification systems (both Unified Soil Classification System and AASHTO), and also includes applications concerning soil compaction and field applications, hydraulic conductivity and seepage, soil compressibility and field application, and shear strength and field application. Features: Presents common methods used for calculating soil relationships + Covers soil compressibility and field application and calculations + Includes soil compaction and field application calculations + Provides shear strength and field application calculations + Includes hydraulic conductivity and seepage calculations.