Neural networks and fuzzy systems Books

Computational Social Psychology showcases a new approach to social psychology that enables theorists and researchers to specify social psychological processes in terms of formal rules that can be implemented and tested using the power of high speed...

This book was created with the intention of informing an international audience about the latest technological aspects for developing smart agricultural applications. As artificial intelligence (AI) takes the main role in this, the majority of the...

Explore the cosmic secrets of Distributed Processing for Deep Learning applications. KEY FEATURES  ●In-depth practical demonstration of ML/DL concepts using Distributed Framework.● Covers graphical illustrations and visual explanations for...

The availability of many-core computing platforms enables a wide variety of technical solutions for systems across the embedded, high-performance and cloud computing domains. However, large scale manycore systems are notoriously hard to optimise. Choices...

Create and improve high-quality automated forecasts for time series data that have strong seasonal effects, holidays, and additional regressors using PythonKey FeaturesLearn how to use the open-source forecasting tool Facebook Prophet to improve your...

Deep learning is rapidly becoming the most preferred way of solving data problems. This is thanks, in part, to its huge variety of mathematical algorithms and their ability to find patterns that are otherwise invisible to us.Deep Learning from the Basics...

Artificial intelligence is on the point of taking humankind into a new age. The turning point will come when AI has advanced so far that it matches human intelligence in every way. Human intelligence, whilst slower in some respects, is still more...

Now in hardback color edition!2024 Edition. Free access to the AI Academy! The perfect guide to help non-technical business leaders understand the power of AI. Completely up to date with the latest advancements in generative AI. Part of the...

This book gives a systemic account of major concepts, methodologies of artificial neural networks and to present a unified frame work that makes the subject more accessible to students and practitioners. The book emphasizes fundamental theoretical...

Designed with both beginners and professionals in mind, the book is meticulously structured to cover a broad spectrum of concepts, applications, and hands-on practices that form the core of the TensorFlow Developer Certificate exam. Starting with...

Achieve TensorFlow certification with this comprehensive guide covering all exam topics using a hands-on, step-by-step approach-perfect for aspiring TensorFlow developersKey Features:Build real-world computer vision, natural language, and time series...

La red de sensores inalámbricos (WSN) es un sistema formado por un gran número de nodos de sensores autónomos (alimentados por batería), con la capacidad de capturar información ambiental, con poca potencia de procesamiento, y la capacidad de comunicarse...

Conventional digital computation methods have run into a se­ rious speed bottleneck due to their serial nature. To overcome this problem, a new computation model, called Neural Networks, has been proposed, which is based on...

The design of an intelligent controller for dynamic systems involves the development and implementation of advanced control strategies that utilize artificial intelligence and machine learning techniques. This approach aims to enhance the performance,...

Implement neural search systems on the cloud by leveraging Jina design patternsKey Features:Identify the different search techniques and discover applications of neural searchGain a solid understanding of vector representation and apply your knowledge in...

The resurgence of artificial intelligence has been fueled by the availability of the present generation of high-performance computational tools and techniques. This book is designed to provide introductory guidance to artificial intelligence,...

Enhance your writing with AI by mastering prompt engineering techniques and become an expert in developing and utilizing LLM prompts across applicationsKey FeaturesMaster prompt engineering techniques to harness AI's writing potentialDiscover diverse LLM...

This book presents a broad overview on the current various design modules and applications of artificial neural systems. Artificial neural networks are often dubbed as one of the most acknowledged technologies in the past twenty years. It has been...

This book attempts to understand the intricacies of artificial neural systems and how they are relevant in our lives. The various projects that are constantly contributing towards advancing technologies and the evolution of this field are looked at in...

This decade has seen an explosive growth in computational speed and memory and a rapid enrichment in our understanding of artificial neural networks. These two factors provide systems engineers and statisticians with the...

This book and software package complements the traditional data analysis tools already widely available. It presents an introduction to the analysis of data using neural network functions such as multilayer feed-forward...

¿Está interesado en el Aprendizaje Automatico? ¿Te fascina cómo funcionan los robots? ¿Estás listo para abrirte a la dinámica del cambio tecnológico?El aprendizaje automático se ha abordado    de manera definitiva como un subconjunto que...

Visualize and build deep learning models with 3D data using PyTorch3D and other Python frameworks to conquer real-world application challenges with easeKey Features:Understand 3D data processing with rendering, PyTorch optimization, and heterogeneous...

When solving real-life engineering problems, linguistic information is often encountered that is frequently hard to quantify using "classical" mathematical techniques. This linguistic information represents subjective knowledge...

Recent years have seen a rapid development of neural network control tech­ niques and their successful applications. Numerous simulation studies and actual industrial implementations show that artificial neural network is a...

¿Está usted confundido acerca del furor que existe detrás de la inteligencia artificial y le gustaría aprender más?Este libro lo abarca todo, desde el aprendizaje automático hasta la robótica y el Internet...

Take your machine learning skills to the next level by mastering Deep Learning concepts and algorithms using Python.Key Features:Explore and create intelligent systems using cutting-edge deep learning techniquesImplement deep learning algorithms and work...

Studienarbeit aus dem Jahr 2018 im Fachbereich BWL - Controlling, Note: 2,7, Universität Bayreuth, Sprache: Deutsch, Abstract: Diese Arbeit wird sich mit den Möglichkeiten und Grenzen neuronaler Netze im Risikomanagementprozess befassen. Dabei werden...

Unlock the full potential of ChatGPT and revolutionize your interactions!Have you heard about the innovative ChatGPT but have no idea how it works?Or perhaps you've tried it out but want to take your conversations with ChatGPT to the next level?Either...

The noise factor is the ratio of signal to noise of an input signal to that of the output signal. Noise can block or interfere with the meaning of a message in both human and electronic communication. But in Information Theory, noise is still considered...

As industrial systems become more widespread, they are quickly becoming network-enabled, and their behavior is becoming more complex and intelligent. The Handbook of Research on Industrial Informatics and Manufacturing Intelligence: Innovations and...

This book explores how to use generative adversarial networks in a variety of applications and emphasises their substantial advancements over traditional generative models. It concentrates on cutting-edge research in DL and GAN which includes creating...

Our book will also introduce NAS due to its superiority and state-of-the-art performance in various applications, such as image classification and object detection.

Transformers are becoming a core part of many neural network architectures, employed in a wide range of applications such as NLP, Speech Recognition, Time Series, and Computer Vision. Transformers have gone through many adaptations and alterations,...

John Richards's "The Rise of Machines: Exploring the Frontiers of Artificial Intelligence" digs into the fascinating world of AI, taking readers on a fascinating journey through the history and possible future of self-aware robots. Richards, a seasoned...

Discover recipes for developing AI applications to solve a variety of real-world business problems using reinforcement learningKey FeaturesDevelop and deploy deep reinforcement learning-based solutions to production pipelines, products, and...

Master advanced techniques and algorithms for deep learning with PyTorch using real-world examplesKey Features- Understand how to use PyTorch 1.x to build advanced neural network models- Learn to perform a wide range of tasks by implementing deep...

Devoted to local and global analysis of weakly connected systems with applications to neurosciences, this book uses bifurcation theory and canonical models as the major tools of analysis. It presents a systematic and well...