Handbook of Nature-Inspired and Innovative Computing: Integrating Classical Models with Emerging Technologies - Image 1

£28.02

Springer Handbook of Nature-Inspired and Innovative Computing: Integrating Classical Models with Emerging Technologies

Name: Handbook of Nature-Inspired and Innovative Computing: Integrating Classical Models with Emerging Technologies
Brand: Springer
Price: 28.02 GBP
Availability: InStock

illustrations

Architecture & Microprocessors

This is the usual price. Wait for it to drop, or tell us your number.

£28 today · usual range £0–£0 · best ever £23

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 579 days • 579 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 579 days • 3 price ranges

Days at Price

Current Price

Price Analysis

Most common range: £23-36 (512 days, 88.4%)

Price range: £23 - £91

Price levels: 3 price ranges over 579 days

Description

As computing devices proliferate, demand increases for an understanding of emerging computing paradigms and models based on natural phenomena. Neural networks, evolution-based models, quantum computing, and DNA-based computing and simulations are all a necessary part of modern computing analysis and systems development. Vast literature exists on these new paradigms and their implications for a wide array of applications. This comprehensive handbook, the first of its kind to address the connection between nature-inspired and traditional computational paradigms, is a repository of case studies dealing with different problems in computing and solutions to these problems based on nature-inspired paradigms. The "Handbook of Nature-Inspired and Innovative Computing: Integrating Classical Models with Emerging Technologies" is an essential compilation of models, methods, and algorithms for researchers, professionals, and advanced-level students working in all areas of computer science, IT, biocomputing, and network engineering.

Product Specifications

Brand: Springer
Model: illustrations
Format: Hardcover
ASIN: 0387405321
Category: Books > Subjects > Computing & Internet > Computer Science > Architecture & Microprocessors
Domain: Amazon UK
Release Date: 10 January 2006
Listed Since: 10 December 2006

Barcode

No barcode data available

Springer Handbook of Nature-Inspired and Innovative Computing: Integrating Classical Models with Emerging Technologies

This is the usual price. Wait for it to drop, or tell us your number.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Nature-Inspired Computing: Physics and Chemistry-Based Algorithms

Handbook of Research on Nature Inspired Computing for Economics and Management

Natural Computing: 2nd International Workshop on Natural Computing Nagoya, Japan, December 2007, Proceedings: 1 (Proceedings in Information and Communications Technology, 1)

Nature-Inspired Algorithms for Big Data Frameworks

Nature-Inspired Algorithms for Big Data Frameworks (Advances in Computational Intelligence and Robotics)

Real-life Applications with Membrane Computing: 25 (Emergence, Complexity and Computation, 25)

Recent Developments in Biologically Inspired Computing

Natural Computing for Unsupervised Learning (Unsupervised and Semi-Supervised Learning)

Introduction to Computation in Physical Sciences: Interactive Computing and Visualization with Python™ (Synthesis Lectures on Computation and Analytics)

Artificial Intelligence Of Neuromorphic Systems: From Digital, Analogue, Quantum, And Brain-oriented Computing To Hybrid AI: 99 (World Scientific Series on Nonlinear Science Series A)

Nature-Inspired Computing Design, Development, and Applications

Innovations in Bio-Inspired Computing and Applications: Proceedings of the 9th International Conference on Innovations in Bio-Inspired Computing and ... in Intelligent Systems and Computing, 939)

Handbook of Research on Advanced Research on Hybrid Intelligent Techniques and Applications (Advances in Computational Intelligence and Robotics)

Handbook of Research on Soft Computing and Nature-Inspired Algorithms (Advances in Computational Intelligence and Robotics)

Neural Information Processing: 28th International Conference, ICONIP 2021, Sanur, Bali, Indonesia, December 8–12, 2021, Proceedings, Part VI: 1517 ... in Computer and Information Science, 1517)

Algorithmic Bioprocesses (Natural Computing Series)

EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation IV: International Conference Held at Leiden University, ... in Intelligent Systems and Computing, 227)

Proceedings of the 16th International Conference on Hybrid Intelligent Systems (HIS 2016): 552 (Advances in Intelligent Systems and Computing, 552)

Intelligent Computing Theories and Application: 12th International Conference, ICIC 2016, Lanzhou, China, August 2-5, 2016, Proceedings, Part I: 9771 (Lecture Notes in Computer Science, 9771)

Intelligent Computing Theories and Application: 12th International Conference, ICIC 2016, Lanzhou, China, August 2-5, 2016, Proceedings, Part II: 9772 (Lecture Notes in Computer Science, 9772)

Nature-Inspired Computing and Optimization: Theory and Applications: 10 (Modeling and Optimization in Science and Technologies, 10)

Advances in Computational Intelligence: 11th International Work-Conference on Artificial Neural Networks, IWANN 2011, Torremolinos-Málaga, Spain, June ... (Lecture Notes in Computer Science, 6692)

Proceedings of the 2011 2nd International Congress on Computer Applications and Computational Science: Volume 2: 145 (Advances in Intelligent and Soft Computing, 145)

Biological Computation: 37 (Chapman & Hall/CRC Computational Biology Series)