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Introduction to Neural Computing
Introduction to Neural Computing

Since the first edition of this book was published, much has happened in the field of neural networks. The authors reflect these changes by updating and introducing material on new developments including neurocontrol, pattern analysis and dynamic systems. This book should be useful for undergraduate students of neural networks.

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Deep Learning with Swift for TensorFlow: Differentiable Programming with Swift
Deep Learning with Swift for TensorFlow: Differentiable Programming with Swift

About this book

Discover more insight about deep learning algorithms with Swift for TensorFlow. The Swift language was designed by Apple for optimized performance and development whereas TensorFlow library was designed by Google for advanced machine learning research. Swift for TensorFlow is a combination of both...

Do Smart Adaptive Systems Exist?: Best Practice for Selection and Combination of Intelligent Methods
Do Smart Adaptive Systems Exist?: Best Practice for Selection and Combination of Intelligent Methods

Do Smart Adaptive Systems Exist? is intended as a reference and a guide summarising and focusing on best practices when using intelligent techniques and building systems requiring a degree of adaptation and intelligence.

It is therefore not intended as a collection of the most recent research results, but as a practical...

Advances in Computational Intelligence: Theory And Applications
Advances in Computational Intelligence: Theory And Applications
Computational Intelligence (CI) is a recently emerging area in fundamental and applied research, exploiting a number of advanced information processing technologies that mainly embody neural networks, fuzzy logic and evolutionary computation. With a major concern to exploiting the tolerance for imperfection, uncertainty, and partial truth to...
Brain Dynamics: An Introduction to Models and Simulations (Springer Series in Synergetics)
Brain Dynamics: An Introduction to Models and Simulations (Springer Series in Synergetics)

This is an excellent introduction for graduate students and nonspecialists to the field of mathematical and computational neurosciences. The book approaches the subject via pulsed-coupled neural networks, which have at their core the lighthouse and integrate-and-fire models. These allow for highly flexible modeling of realistic synaptic...

Python Deep Learning Projects: 9 projects demystifying neural network and deep learning models for building intelligent systems
Python Deep Learning Projects: 9 projects demystifying neural network and deep learning models for building intelligent systems

Insightful projects to master deep learning and neural network architectures using Python and Keras

Key Features

  • Explore deep learning across computer vision, natural language processing (NLP), and image processing
  • Discover best practices for the training of deep neural...
Neuroblastoma
Neuroblastoma

Neuroblastoma is a medical enigma. As a childhood neoplasm arising from neural crest cells, it is characterized by diverse clinical behaviors ranging from spontaneous remission to rapid tumor progression and death. Although clinical outcome can be predicted to a large extent by the stage of disease and the age at diagnosis, an in-depth...

Digital Government: Principles and Best Practices
Digital Government: Principles and Best Practices

E-government has emerged not merely as a specialization in public administration but as a transformative force affecting all leaves and functions in government. Digital Government: Principles and Best Practices, written by a collection of practitioners and researchers, provides an overview of the management challenges and issues...

Knowledge-Based Neurocomputing: A Fuzzy Logic Approach (Studies in Fuzziness and Soft Computing)
Knowledge-Based Neurocomputing: A Fuzzy Logic Approach (Studies in Fuzziness and Soft Computing)
In this monograph, the authors introduce a novel fuzzy rule-base, referred to as the Fuzzy All-permutations Rule-Base (FARB). They show that inferring the FARB, using standard tools from fuzzy logic theory, yields an input-output map that is mathematically equivalent to that of an artificial neural network. Conversely, every standard...
Uncertainty and Intelligent Information Systems
Uncertainty and Intelligent Information Systems
Intelligent systems are necessary to handle modern computer-based technologies managing information and knowledge. This book discusses the theories required to help provide solutions to difficult problems in the construction of intelligent systems. Particular attention is paid to situations in which the available information and data may be...
Deep Learning for Computer Vision: Expert techniques to train advanced neural networks using TensorFlow and Keras
Deep Learning for Computer Vision: Expert techniques to train advanced neural networks using TensorFlow and Keras

Learn how to model and train advanced neural networks to implement a variety of Computer Vision tasks

Key Features

  • Train different kinds of deep learning model from scratch to solve specific problems in Computer Vision
  • Combine the power of Python, Keras, and TensorFlow to...
Recent Advances in Communication Infrastructure: Proceedings of ICPCCI 2019 (Lecture Notes in Electrical Engineering)
Recent Advances in Communication Infrastructure: Proceedings of ICPCCI 2019 (Lecture Notes in Electrical Engineering)

This book gathers selected research papers presented at the International Conference on Power, Control and Communication Infrastructure 2019 (ICPCCI 2019), organized by the Institute of Infrastructure, Technology, Research and Management (IITRAM), Ahmedabad, Gujarat, India, on July 4–5, 2019. It presents technological...

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