𝔖 Scriptorium
✦   LIBER   ✦
📁

Computer vision and Fuzzy-Neural Systems

✍ Scribed by Arun D. Kulkarni

Publisher
Prentice Hall PTR
Year
2001
Tongue
English
Leaves
261
Category
Library
⬇  Acquire This Volume

No coin nor oath required. For personal study only.

✦ Synopsis

Complete guide to applying fuzzy-neural systems in computer vision, introducing approaches that incorporate neural networks, fuzzy inference systems and fuzzy-neural network models into the fundamental models of computer vision systems. The CD-ROM features a library of MATLAB command files and other files for the text. System requirements not listed. DLC: Computer vision.

✦ Subjects

Информатика и вычислительная техника;Обработка медиа-данных;Обработка изображений;

📜 SIMILAR VOLUMES

Computational Intelligence Systems and A
📁 Computational Intelligence Systems and Applications: Neuro-Fuzzy and Fuzzy Neural Synergisms
✍ Professor Marian B. Gorzałczany (auth.) 📂 Library 📅 2002 🏛 Physica-Verlag Heidelberg 🌐 English

<p>This book presents new concepts and implementations of Computational Intelligence (CI) systems (based on neuro-fuzzy and fuzzy neural synergisms) and a broad comparative analysis with the best-known existing neuro-fuzzy systems as well as with systems representing other knowledge-discovery techni

Computational Intelligence Systems and A
📁 Computational Intelligence Systems and Applications. Neuro-Fuzzy and Fuzzy Neural Synergis
✍ Gorzałczany M.B. 📂 Library 🌐 English

Springer, 2002. — 367.<div class="bb-sep"></div>Traditional Artificial Intelligence (AI) systems adopted symbolic processing as their main paradigm. Symbolic AI systems have proved effective in handling problems characterized by exact and complete knowledge representation. Unfortunately, these syste

Soft Computing: Integrating Evolutionary
📁 Soft Computing: Integrating Evolutionary, Neural, and Fuzzy Systems
✍ Andrea Tettamanzi, Marco Tomassini (auth.) 📂 Library 📅 2001 🏛 Springer-Verlag Berlin Heidelberg 🌐 English

<p>Soft computing encompasses various computational methodologies, which, unlike conventional algorithms, are tolerant of imprecision, uncertainty, and partial truth. Soft computing technologies offer adaptability as a characteristic feature and thus permit the tracking of a problem through a changi

Fundamentals of Computational Intelligen
📁 Fundamentals of Computational Intelligence: Neural Networks, Fuzzy Systems, and Evolutionary Computation
✍ James M. Keller, Derong Liu, David B. Fogel 📂 Library 📅 2016 🏛 Wiley-IEEE Press 🌐 English

<p><b>Provides an in-depth and even treatment of the three pillars of computational intelligence and how they relate to one another</b> </p> <p>This book covers the three fundamental topics that form the basis of computational intelligence:  neural networks, fuzzy systems, and evolutionary computati