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Applications of Artificial Neural Networks for Nonlinear Data: Concepts and categorization. Chapter 1. Literature Survey for applications of artificial neural networks ; Chapter 2. Comprehensive modelling of ANN ; Chapter 3. Fundamental categories of artificial neural networks ; Chapter 4. Applications of ANN for agriculture using remote sensed data ; Chapter 5. Classification approach for sentiment analysis using machine learning

2021 Neural networks (Computer science)
Download Applications of Artificial Neural Networks for Nonlinear Data: Concepts and categorization. Chapter 1. Literature Survey for applications of artificial neural networks ; Chapter 2. Comprehensive modelling of ANN ; Chapter 3. Fundamental categories of artificial neural networks ; Chapter 4. Applications of ANN for agriculture using remote sensed data ; Chapter 5. Classification approach for sentiment analysis using machine learning PDF Online Free

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Release : 2021
Genre : Neural networks (Computer science)
Kind : eBook
Book Rating : 442/5 ( reviews)

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Book Synopsis Applications of Artificial Neural Networks for Nonlinear Data: Concepts and categorization. Chapter 1. Literature Survey for applications of artificial neural networks ; Chapter 2. Comprehensive modelling of ANN ; Chapter 3. Fundamental categories of artificial neural networks ; Chapter 4. Applications of ANN for agriculture using remote sensed data ; Chapter 5. Classification approach for sentiment analysis using machine learning by : Hiral Ashil Patel

Download or read book Applications of Artificial Neural Networks for Nonlinear Data: Concepts and categorization. Chapter 1. Literature Survey for applications of artificial neural networks ; Chapter 2. Comprehensive modelling of ANN ; Chapter 3. Fundamental categories of artificial neural networks ; Chapter 4. Applications of ANN for agriculture using remote sensed data ; Chapter 5. Classification approach for sentiment analysis using machine learning written by Hiral Ashil Patel. This book was released on 2021. Available in PDF, EPUB and Kindle. Book excerpt: "This book is a collection of research on the contemporary nature of artificial neural networks and their specific implementations within data analysis"--

Applications of Artificial Neural Networks for Nonlinear Data

2020-09-25 Computers
Download Applications of Artificial Neural Networks for Nonlinear Data PDF Online Free

Author :
Release : 2020-09-25
Genre : Computers
Kind : eBook
Book Rating : 433/5 ( reviews)

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Book Synopsis Applications of Artificial Neural Networks for Nonlinear Data by : Patel, Hiral Ashil

Download or read book Applications of Artificial Neural Networks for Nonlinear Data written by Patel, Hiral Ashil. This book was released on 2020-09-25. Available in PDF, EPUB and Kindle. Book excerpt: Processing information and analyzing data efficiently and effectively is crucial for any company that wishes to stay competitive in its respective market. Nonlinear data presents new challenges to organizations, however, due to its complexity and unpredictability. The only technology that can properly handle this form of data is artificial neural networks. These modeling systems present a high level of benefits in analyzing complex data in a proficient manner, yet considerable research on the specific applications of these intelligent components is significantly deficient. Applications of Artificial Neural Networks for Nonlinear Data is a collection of innovative research on the contemporary nature of artificial neural networks and their specific implementations within data analysis. While highlighting topics including propagation functions, optimization techniques, and learning methodologies, this book is ideally designed for researchers, statisticians, academicians, developers, scientists, practitioners, students, and educators seeking current research on the use of artificial neural networks in diagnosing and solving nonparametric problems.

Multivariate Statistical Machine Learning Methods for Genomic Prediction

2022-02-14 Technology & Engineering
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Release : 2022-02-14
Genre : Technology & Engineering
Kind : eBook
Book Rating : 104/5 ( reviews)

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Book Synopsis Multivariate Statistical Machine Learning Methods for Genomic Prediction by : Osval Antonio Montesinos López

Download or read book Multivariate Statistical Machine Learning Methods for Genomic Prediction written by Osval Antonio Montesinos López. This book was released on 2022-02-14. Available in PDF, EPUB and Kindle. Book excerpt: This book is open access under a CC BY 4.0 license This open access book brings together the latest genome base prediction models currently being used by statisticians, breeders and data scientists. It provides an accessible way to understand the theory behind each statistical learning tool, the required pre-processing, the basics of model building, how to train statistical learning methods, the basic R scripts needed to implement each statistical learning tool, and the output of each tool. To do so, for each tool the book provides background theory, some elements of the R statistical software for its implementation, the conceptual underpinnings, and at least two illustrative examples with data from real-world genomic selection experiments. Lastly, worked-out examples help readers check their own comprehension.The book will greatly appeal to readers in plant (and animal) breeding, geneticists and statisticians, as it provides in a very accessible way the necessary theory, the appropriate R code, and illustrative examples for a complete understanding of each statistical learning tool. In addition, it weighs the advantages and disadvantages of each tool.

Research Anthology on Artificial Neural Network Applications

2021-07-16 Computers
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Release : 2021-07-16
Genre : Computers
Kind : eBook
Book Rating : 096/5 ( reviews)

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Book Synopsis Research Anthology on Artificial Neural Network Applications by : Management Association, Information Resources

Download or read book Research Anthology on Artificial Neural Network Applications written by Management Association, Information Resources. This book was released on 2021-07-16. Available in PDF, EPUB and Kindle. Book excerpt: Artificial neural networks (ANNs) present many benefits in analyzing complex data in a proficient manner. As an effective and efficient problem-solving method, ANNs are incredibly useful in many different fields. From education to medicine and banking to engineering, artificial neural networks are a growing phenomenon as more realize the plethora of uses and benefits they provide. Due to their complexity, it is vital for researchers to understand ANN capabilities in various fields. The Research Anthology on Artificial Neural Network Applications covers critical topics related to artificial neural networks and their multitude of applications in a number of diverse areas including medicine, finance, operations research, business, social media, security, and more. Covering everything from the applications and uses of artificial neural networks to deep learning and non-linear problems, this book is ideal for computer scientists, IT specialists, data scientists, technologists, business owners, engineers, government agencies, researchers, academicians, and students, as well as anyone who is interested in learning more about how artificial neural networks can be used across a wide range of fields.

Control Systems

2019-07-12 Technology & Engineering
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Release : 2019-07-12
Genre : Technology & Engineering
Kind : eBook
Book Rating : 783/5 ( reviews)

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Book Synopsis Control Systems by : Jitendra R. Raol

Download or read book Control Systems written by Jitendra R. Raol. This book was released on 2019-07-12. Available in PDF, EPUB and Kindle. Book excerpt: Control Systems: Classical, Modern, and AI-Based Approaches provides a broad and comprehensive study of the principles, mathematics, and applications for those studying basic control in mechanical, electrical, aerospace, and other engineering disciplines. The text builds a strong mathematical foundation of control theory of linear, nonlinear, optimal, model predictive, robust, digital, and adaptive control systems, and it addresses applications in several emerging areas, such as aircraft, electro-mechanical, and some nonengineering systems: DC motor control, steel beam thickness control, drum boiler, motional control system, chemical reactor, head-disk assembly, pitch control of an aircraft, yaw-damper control, helicopter control, and tidal power control. Decentralized control, game-theoretic control, and control of hybrid systems are discussed. Also, control systems based on artificial neural networks, fuzzy logic, and genetic algorithms, termed as AI-based systems are studied and analyzed with applications such as auto-landing aircraft, industrial process control, active suspension system, fuzzy gain scheduling, PID control, and adaptive neuro control. Numerical coverage with MATLAB® is integrated, and numerous examples and exercises are included for each chapter. Associated MATLAB® code will be made available.

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