Inicio > > Ciencias de la computación > Inteligencia artificial > Redes neuronales y sistemas difusos > Theory, Concepts and Methods of Recurrent Neural Networks and Soft Computing
Theory, Concepts and Methods of Recurrent Neural Networks and Soft Computing

Theory, Concepts and Methods of Recurrent Neural Networks and Soft Computing

Theory, Concepts and Methods of Recurrent Neural Networks and Soft Computing

Jeremy Rogerson

166,81 €
IVA incluido
Consulta disponibilidad
Editorial:
ML Books International - IPS
Año de edición:
2015
Materia
Redes neuronales y sistemas difusos
ISBN:
9781632404930

Selecciona una librería:

  • Librería Samer Atenea
  • Librería Aciertas (Toledo)
  • Kálamo Books
  • Librería Perelló (Valencia)
  • Librería Elías (Asturias)
  • Donde los libros
  • Librería Kolima (Madrid)
  • Librería Proteo (Málaga)

Advanced information regarding the theory, concepts and applications of recurrent neural networks and the field of soft computing has been highlighted in this elaborative book. A broad spectrum of topics is encompassed in this book like neural networks and static modelling, neuro-fuzzy digital filter, ranking indices for fuzzy numbers, controller designs for nonlinear dynamic systems, etc. The aim of this book is to serve as a valuable source of reference for a wide range of readers including scientists, researchers and students. It consists of contributions made by veteran researchers from across the globe.

Artículos relacionados

  • ANALYSIS & VISUALIZATION DISCRETE DATA USING NEURAL NETWORKS
    KOJI KOYAMADA / KOYAMADA KOJI
    This book serves as a comprehensive step-by-step guide on data analysis and statistical analysis. It covers fundamental operations in Excel, such as table components, formula bar, and ribbon, and introduces visualization techniques and PDE derivation using Excel. It also provides an overview of Google Colab, including code and text cells, and explores visualization and deep lea...
  • GEOMETRIC LINEAR ALGEBRA (V1)
    I-HSIUNG LIN / LIN I-HSIUNG
    This accessible book for beginners uses intuitive geometric concepts to create abstract algebraic theory with a special emphasis on geometric characterizations. The book applies known results to describe various geometries and their invariants, and presents problems concerned with linear algebra, such as in real and complex analysis, differential equations, differentiable manif...
  • GEOMETRIC LINEAR ALGEBRA (V1)
    I-HSIUNG LIN / LIN I-HSIUNG
    This accessible book for beginners uses intuitive geometric concepts to create abstract algebraic theory with a special emphasis on geometric characterizations. The book applies known results to describe various geometries and their invariants, and presents problems concerned with linear algebra, such as in real and complex analysis, differential equations, differentiable manif...
    Disponible

    95,17 €

  • SYNESTHESIA DECODES INNOVATION
    DINGPING (FRANK) QIAN / QIAN DINGPING (FRANK)
    The process of decrypting innovation and creation, as a lurking nondescript so far, is theorized and operationalized based upon interdisciplinary taskings.First comes the mapping between real world and human brain; innovation is redefined as discovering new interrelationships in the brain using an algorithm, well-defined in 5 steps, of searching unknown relations herein, and th...
  • AI-Assisted Programming for Web and Machine Learning
    Anjali Jain / Christoffer Noring / Marina Fernandez
    Speed up your development processes and improve your productivity by writing practical and relevant prompts to build web applications and Machine Learning (ML) modelsPurchase of the print or Kindle book includes a free PDF copyKey Features:- Utilize prompts to enhance frontend and backend web development- Develop prompt strategies to build robust machine learning models- Use Gi...
    Disponible

    72,03 €

  • An Information-Theoretic Approach to Neural Computing
    Dragan Obradovic / Gustavo Deco
    A detailed formulation of neural networks from the information-theoretic viewpoint. The authors show how this perspective provides new insights into the design theory of neural networks. In particular they demonstrate how these methods may be applied to the topics of supervised and unsupervised learning, including feature extraction, linear and non-li...

Otros libros del autor

  • Innovation and Progress in Artificial Intelligence
    Jeremy Rogerson
    Artificial Intelligence is the field which aims to develop digital computers, softwares, artificial robotics and systems which can mimic and emulate human intellectual processes like the capability to reason, apprehend, analyse and learn from past experiences. It is widely used for designing and programming advanced systems that can perform complex tasks with high proficiency a...
  • Designs and Applied Principles of Artificial Neural Networks
    Jeremy Rogerson
    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 broadly applied in a wide diversity of applications. The aim of this book is to present current developments of architectures, metho...
  • Study of Self-Organizing Maps
    Jeremy Rogerson
    This book presents analysis and applications of self-organizing maps in various domains. The self-organizing map, first explained by Finnish scientist Teuvo Kohonen, can be used for a broad spectrum of fields and this book explains how the original self-organizing map along with its variants and extensions can be applied in diverse fields. These applications comprise of the exa...