£252.99

Neural Network Driven Artificial Intelligence: Decision Making Based On Fuzzy Logic (Computer Science, Technology and Applications: Mathematics Research Developments)

AI & Machine Learning

Price data last checked 120 day(s) ago - refreshing...

View at Amazon

We'll watch every seller, every day. One email when your price arrives.

It has never been this cheap. We have no record of a lower price.

£253 today · cheaper than every other day in the last 24 months

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 611 days • 611 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 611 days • 6 price levels

Days at Price

Current Price

Price Analysis

Most common price: £253 (483 days, 79.1%)

Price range: £253 - £337

Price levels: 6 different prices over 611 days

Description

With today's growing and overloading volume of information, it is becoming tremendously difficult to analyse the huge amounts of data that contain this information. It makes it very strenuous and inconvenient to introduce an appropriate methodology of decision-making fast enough to the point that it can be considered as real-time. The demand for real-time processing information and related data -- both structured and unstructured -- is on the rise and consequently makes it harder and harder to implement correct decision making at the enterprise level to keep the organisation robust and resilient against either manmade threats or natural disasters. Neural networking and fuzzy systems combined show how an artificial intelligence (AI) can be driven, by these combinations as a trainable system that is more dynamic than static when it comes to machine and deep learning language to deal with both adversary and friendly events in real-time. Dynamic systems of AI that are built around such an innovative approach allows the robots of the future to be more adaptive with mechanisms such as principle adoption, self-organisation, and the convergence of global stability from the viewpoint of business and intelligence security needed in today's cyber world. To deal with uncertainty, vagueness, and imprecision, Lofti A Zadeh introduced fuzzy sets and fuzzy logic. In the present book, fuzzy classification is applied to extend portfolio analysis, scoring methods, customer segmentation and performance measurement, and thus improves managerial decisions. As an integral part of the book, case studies show how fuzzy classification -- with its query facilities -- can extend customer equity, enable mass customisation, and refine marketing campaigns. This book shows interoperability between the two sciences/techniques show how: 1) To utilise fuzzy theory of the first and second kind to an adaptive control; and 2) how to invent a structured fuzzy system and robots of future, with unsupervised neural network techniques to face an unstructured world of big data and unpredictable global events all in real-time. An important aspect of this approach is to examine biological neural systems and study how artificial neural networks are, how they are based on them, and how they are driven by them as well. Key areas discussed include: 1) Structural diversity; 2) temporal lobe; 3) origins of artificial neural systems; 4) brain structure and function; 5) biological nerve cells; 6) synapses; 7) random and fixed positions in the brain's neural networks; and 8) how biological systems really compare to computational neural networks. The book is designed to be appropriate for courses in engineering, computer science, mathematics, psychology and biology.

Product Specifications

Format: Hardcover
ASIN: 1536121142
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 01 July 2017
Listed Since: 10 May 2017

Barcode

No barcode data available

Neural Network Driven Artificial Intelligence: Decision Making Based On Fuzzy Logic (Computer Science, Technology and Applications: Mathematics Research Developments)

It has never been this cheap. We have no record of a lower price.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Springer Innovations in Neural Information Paradigms - Vol 247

Advances in Neural Computation, Machine Learning, and Cognitive Research II: Selected Papers from the XX International Conference on Neuroinformatics, ... (Studies in Computational Intelligence, 799)

Proceedings of ELM-2017: 10 (Proceedings in Adaptation, Learning and Optimization, 10)

Information-Theoretic Aspects of Neural Networks

Connectionist Models Of Neurocognition And Emergent Behavior: From Theory To Applications - Proceedings Of The 12Th Neural Computation And Psychology Workshop: 20 (Progress In Neural Processing)

CRC Press Toward Human-Level Artificial Intelligence Book

Toward Human-Level Artificial Intelligence: How Neuroscience Can Inform the Pursuit of Artificial General Intelligence or General AI

Advances in Neural Computation, Machine Learning, and Cognitive Research IV: Selected Papers from the XXII International Conference on ... (Studies in Computational Intelligence, 925)

Reductive Model of the Conscious Mind

Advances in Neural Networks - ISNN 2008: 5th International Composium on Neural Networks, ISNN 2008, Beijing, China, September 24-28, 2008, ... (Lecture Notes in Computer Science, 5264)

Advances in Neural Networks: 5th International Symposium on Neural networks, ISNN 2008, Beijing, China, September 24-28, 2008, Proceedings, Part I: 5263 (Lecture Notes in Computer Science, 5263)

Artificial Intelligence Systems Based on Hybrid Neural Networks: Theory and Applications: 904 (Studies in Computational Intelligence, 904)

Artificial Intelligence Systems Based on Hybrid Neural Networks: Theory and Applications: 904 (Studies in Computational Intelligence, 904)

Reductive Model of the Conscious Mind (InfoSci-Books - Copyright 2021)

Artificial Neural Networks in Biological and Environmental Analysis (Analytical Chemistry)

Springer ICONIP 2007 Neural Information Processing Vol 1

Advances in Neural Networks - ISNN 2006: Third International Symposium on Neural Networks, ISNN 2006, Chengdu, China, May 28 - June 1, 2006, ... (Lecture Notes in Computer Science, 3973)

Wiley Nonlinear Dynamical Systems - Feedforward Neural Networks

Models of Neurons and Perceptrons: Selected Problems and Challenges: 770 (Studies in Computational Intelligence, 770)

Artificial Neural Nets. Problem Solving Methods: 7th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2003, Maó, ... (Lecture Notes in Computer Science, 2687)

Proceedings of ELM2019: 14 (Proceedings in Adaptation, Learning and Optimization)

Recent Advances of Neural Network Models and Applications: Proceedings of the 23rd Workshop of the Italian Neural Networks Society (SIREN), May 23-25, ... Innovation, Systems and Technologies, 26)

Pattern Recognition with Neural Networks in C++

Neural Mechanisms: New Challenges in the Philosophy of Neuroscience: 17 (Studies in Brain and Mind, 17)