Pattern Recognition and Computational Intelligence Techniques Using MATLAB, Gopi E. S.
Автор: Pramod Kumar Pisharady; Prahlad Vadakkepat; Loh Ai Название: Computational Intelligence in Multi-Feature Visual Pattern Recognition ISBN: 9811011710 ISBN-13(EAN): 9789811011719 Издательство: Springer Рейтинг: Цена: 15672.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents a collection of computational intelligence algorithms that addresses issues in visual pattern recognition such as high computational complexity, abundance of pattern features, sensitivity to size and shape variations and poor performance against complex backgrounds.
Автор: Pedrycz Witold, Chen Shyi-Ming Название: Computational Intelligence for Pattern Recognition ISBN: 3030078191 ISBN-13(EAN): 9783030078195 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The book presents a comprehensive and up-to-date review of fuzzy pattern recognition. Since the inception of fuzzy sets, fuzzy pattern recognition with its methodology, algorithms, and applications, has offered new insights into the principles and practice of pattern classification.
Автор: Sasikumar Gurumoorthy; Naresh Babu Muppalaneni; Xi Название: Computational Intelligence Techniques in Diagnosis of Brain Diseases ISBN: 9811065284 ISBN-13(EAN): 9789811065286 Издательство: Springer Рейтинг: Цена: 7685.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book highlights a new biomedical signal processing method of extracting a specific underlying signal from possibly noisy multi-channel recordings, and shows that the method is suitable for extracting independent components from the measured electroencephalogram (EEG) signal.
Описание: Data-driven computational neuroscience facilitates the transformation of data into insights into the structure and functions of the brain. This modern treatment of real world cases offers neuroscience researchers and graduate students a comprehensive, in-depth guide to statistical and machine learning methods.
Описание: This book presents the complex topic of using computational intelligence for pattern recognition in a straightforward and applicable way, using Matlab to illustrate topics and concepts. The author covers computational intelligence tools like particle swarm optimization, bacterial foraging, simulated annealing, genetic algorithm, and artificial neural networks. The Matlab based illustrations along with the code are given for every topic. Readers get a quick basic understanding of various pattern recognition techniques using only the required depth in math. The Matlab program and algorithm are given along with the running text, providing clarity and usefulness of the various techniques.Presents pattern recognition and the computational intelligence using Matlab;Includes mixtures of theory, math, and algorithms, letting readers understand the concepts quickly;Outlines an array of classifiers, various regression models, statistical tests and the techniques for pattern recognition using computational intelligence.
Автор: Pramod Kumar Pisharady; Prahlad Vadakkepat; Loh Ai Название: Computational Intelligence in Multi-Feature Visual Pattern Recognition ISBN: 9812870555 ISBN-13(EAN): 9789812870551 Издательство: Springer Рейтинг: Цена: 18284.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents a collection of computational intelligence algorithms that addresses issues in visual pattern recognition such as high computational complexity, abundance of pattern features, sensitivity to size and shape variations and poor performance against complex backgrounds.
Описание: This book presents practical development experiences in different areas of data analysis and pattern recognition, focusing on soft computing technologies, clustering and classification algorithms, rough set and fuzzy set theory, evolutionary computations, neural science and neural network systems, image processing, combinatorial pattern matching, social network analysis, audio and video data analysis, data mining in dynamic environments, bioinformatics, hybrid computing, big data analytics and deep learning. It also provides innovative solutions to the challenges in these areas and discusses recent developments.
Описание: Inference Based Statistical Analysis for Suspicious Activity Detection Using Facial Analysis.- A Conceptual Approach for Framework to Design Radar System Using Arduino with Initial Experiments.- Stratification of Indian Dance Forms through Audio Signal.- Forecasting House Price with an Optimum Set of Features.- Deep Learning based Automated Feature Engineering for Rice Leaf Disease Prediction.- Feature Extraction and Disease Prediction from Paddy Crops Using Data Mining Techniques.- A Proposed Gene Selection Approach for Disease Detection.- Modern Trends in Monitoring and Analysis of Chemical Pesticides by Using Artificial Neural Networks.- Raw Data Redundancy Elimination on Cloud Database.- Secured Cloud System Using Deep Learning.- Golf-worm Swarm Optimized 2DOF-PIDN controller for Frequency Regulation of Hybrid Power System.
Автор: Pablo Duboue Название: The Art of Feature Engineering: Essentials for Machine Learning ISBN: 1108709389 ISBN-13(EAN): 9781108709385 Издательство: Cambridge Academ Рейтинг: Цена: 6970.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This is a guide for data scientists who want to use feature engineering to improve the performance of their machine learning solutions. The book provides a unified view of the field, beginning with basic concepts and techniques, followed by a cross-domain approach to advanced topics, like texts and images, with hands-on case studies.
Описание: This research book presents the use of computational intelligence paradigms in the bioprocess-related tasks of modeling, supervision, monitoring and control, diagnostic, learning and optimization. All have applications to a wide variety of other areas.
This updated compendium provides a methodical introduction with a coherent and unified repository of ensemble methods, theories, trends, challenges, and applications. More than a third of this edition comprised of new materials, highlighting descriptions of the classic methods, and extensions and novel approaches that have recently been introduced.
Along with algorithmic descriptions of each method, the settings in which each method is applicable and the consequences and tradeoffs incurred by using the method is succinctly featured. R code for implementation of the algorithm is also emphasized.
The unique volume provides researchers, students and practitioners in industry with a comprehensive, concise and convenient resource on ensemble learning methods.
Автор: Vikas Garg; Rashmi Agrawal Название: Transforming management using artificial intelligence techniques ISBN: 0367456370 ISBN-13(EAN): 9780367456375 Издательство: Taylor&Francis Рейтинг: Цена: 25265.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book redefines management practices using Artificial Intelligence by providing a new approach. It offers a detailed, well-illustrated treatment of each topic with examples and case studies and brings the exciting field to life by presenting a substantial and robust introduction to Artificial intelligence in a clear and concise manner.
ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru
