Neural networks and fuzzy systems

Troanary Computation, AI and The Mirror Thesis is a groundbreaking philosophical and scientific exploration of consciousness, recursion and artificial intelligence.

This book is an in-depth exploration of brain networks, providing a comprehensive understanding of their structures, functions, and implications for personalization through artificial intelligence.

Using real-life examples to illustrate the performance of learning algorithms and instructing readers how to apply them to practical applications, this work offers a comprehensive treatment of subspace learning algorithms for neural networks.

Offering an introduction to the field of expert/knowledge based systems, this text covers current and emerging trends as well as future research areas.

Based on the authors' groundbreaking research, Automated EEG-Based Diagnosis of Neurological Disorders: Inventing the Future of Neurology presents a research ideology, a novel multi-paradigm methodology, and advanced computational models for the automated EEG-based diagnosis of neurological disorders.

Emphasizing the impact of computer software and computational technology on econometric theory and development, this text presents recent advances in the application of computerized tools to econometric techniques and practices-focusing on current innovations in Monte Carlo simulation, computer-aided testing, model selection, and Bayesian methodology for improved econometric analyses.

A guided tour through the each stages of process, Kansei/Affective Engineering explores how to apply Kansei/Affective Engineering.

Background modeling and foreground detection are important steps in video processing used to detect robustly moving objects in challenging environments.

Fuzzy social choice theory is useful for modeling the uncertainty and imprecision prevalent in social life yet it has been scarcely applied and studied in the social sciences.

Boost your AI and generative AI accuracy using real-world datasets with over 150 functional object-oriented methods and open source librariesPurchase of the print or Kindle book includes a free PDF eBookKey FeaturesExplore beautiful, customized charts and infographics in full colorWork with fully functional OO code using open source libraries in the Python Notebook for each chapterUnleash the potential of real-world datasets with practical data augmentation techniquesBook DescriptionData is paramount in AI projects, especially for deep learning and generative AI, as forecasting accuracy relies on input datasets being robust.

Boost your AI and generative AI accuracy using real-world datasets with over 150 functional object-oriented methods and open source librariesPurchase of the print or Kindle book includes a free PDF eBookKey FeaturesExplore beautiful, customized charts and infographics in full colorWork with fully functional OO code using open source libraries in the Python Notebook for each chapterUnleash the potential of real-world datasets with practical data augmentation techniquesBook DescriptionData is paramount in AI projects, especially for deep learning and generative AI, as forecasting accuracy relies on input datasets being robust.

While many companies have already begun their journey towards high automation and AI-powered operations, the landscape continues to shift rapidly.

An organization's employees are often more intimate with its computer system than anyone else.

This book is a comprehensive overview of advancements in artificial intelligence (AI) and how it can be applied in the field of air quality management.

A compact guide to mastering TensorFlow 2, covering essential APIs, datasets, and practical applications for efficient machine learning and deep learning projects.

A compact guide to mastering TensorFlow 2, covering essential APIs, datasets, and practical applications for efficient machine learning and deep learning projects.

While many companies have already begun their journey towards high automation and AI-powered operations, the landscape continues to shift rapidly.

This book provides a comprehensive exploration of generalization in deep learning, focusing on both theoretical foundations and practical strategies.

This book provides insights into how AI is changing legal practice, government processes, and individuals' access to those processes, encouraging each of us to consider how technological advances are changing the legal system.

This book provides insights into how AI is changing legal practice, government processes, and individuals' access to those processes, encouraging each of us to consider how technological advances are changing the legal system.

This book provides an ideal guide for Python developers who want to learn how to build applications with large language models.

What are the principles behind intelligent systems?

Master AI, machine learning, and deep learning with practical insights into RNNs, LSTMs, NLP, and reinforcement learning.

Master AI, machine learning, and deep learning with practical insights into RNNs, LSTMs, NLP, and reinforcement learning.

Work on 10 practical projects, each with a blueprint for a different machine learning technique, and apply them in the real world to fight against cybercrimePurchase of the print or Kindle book includes a free PDF eBookKey FeaturesLearn how to frame a cyber security problem as a machine learning problemExamine your model for robustness against adversarial machine learningBuild your portfolio, enhance your resume, and ace interviews to become a cybersecurity data scientistBook DescriptionMachine learning in security is harder than other domains because of the changing nature and abilities of adversaries, high stakes, and a lack of ground-truth data.

This book focuses on fractional order (non-integer order) modeling (FOM) techniques coupled with deep neural network-based intelligent modeling methods for lithium-ion batteries (LIBs) and battery management systems (BMS) in general.

The masterpiece of Joseph Conrad's later years, the autobiographical short novel The Shadow-Line depicts a young man at a crossroads in his life, facing a desperate crisis that marks the "shadow-line" between youth and maturity.

This book is an introduction to machine learning, with a strong focus on the mathematics behind the standard algorithms and techniques in the field, aimed at senior undergraduates and early graduate students of Mathematics.

This book is an introduction to machine learning, with a strong focus on the mathematics behind the standard algorithms and techniques in the field, aimed at senior undergraduates and early graduate students of Mathematics.

The Tale by Joseph Conrad brings together in one collection four stories by Joseph Conrad.

May 11, 1997, was a watershed moment in the history of artificial intelligence (AI): the IBM supercomputer chess engine, Deep Blue, beat the world Chess champion, Garry Kasparov.

Achieve TensorFlow certification with this comprehensive guide covering all exam topics using a hands-on, step-by-step approach-perfect for aspiring TensorFlow developersKey FeaturesBuild real-world computer vision, natural language, and time series applicationsLearn how to overcome issues such as overfitting with techniques such as data augmentationMaster transfer learning-what it is and how to build applications with pre-trained modelsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionThe TensorFlow Developer Certificate Guide is an indispensable resource for machine learning enthusiasts and data professionals seeking to master TensorFlow and validate their skills by earning the certification.

The Assignation is a short story with Gothic touches and a tragic ending.

'Little Girls Wiser Than Men' is a short story by Russian author Leo Tolstoy first published in 1885.

This ebook comprises the complete short stories written by French author Guy de Maupassant.

"The Mystery of Marie Roget", often subtitled A Sequel to "The Murders in the Rue Morgue", is a short story by Edgar Allan Poe written in 1842.

An un-named narrator describes the Count he meets at his hotel in Naples.