Visit our new collection website
www.collectionsforschool.co.uk
SCHOOL BOOKS
KEY STAGES
BEST SELLERS
BOOK AWARDS
NEW FICTION
HOME
FURTHER EDUCATION
SECONDARY
PRIMARY
COLLECTIONS
VIEW BASKET
CHECK-OUT
MY ACCOUNT
HELP
Title / ISBN13
ISBN / EAN
Author
Publisher
Series
Category
Email:
Subscribe to news & offers:
Need assistance?
Log In/Register
CATEGORY BROWSE
Arts
Agriculture
Biography
Business
Children's
Computing
Earth Sciences
Economics
Educational
Engineering
English Language Teaching (ELT)
Environment
Family
Fiction
Finance
Geography
Home
Humanities
Industry
Information
Information Technology
Interdisciplinary Subjects
Language
Law
Leisure Interests
Literature
Mathematics
Medicine
Planning
Practical Interests
Reference
Science
Social Sciences
Sport
Technology
Travel
Veterinary Science
ABOUT US
About Us
Contact Us
Terms & Conditions
Item Details
Title:
NEW BACKPROPAGATION ALGORITHM WITH TYPE-2 FUZZY WEIGHTS FOR NEURAL NETWORKS
By:
Fernando Gaxiola, Patricia Melin, Fevrier Valdez
Format:
Paperback
List price:
£44.99
Our price:
£38.24
Discount:
15
% off
You save:
£6.75
ISBN 10:
3319340867
ISBN 13:
9783319340869
Availability:
Usually dispatched within 1-3 weeks.
Delivery rates
Stock:
Currently
0
available
Publisher:
SPRINGER INTERNATIONAL PUBLISHING AG
Pub. date:
2 June, 2016
Edition:
1st ed. 2016
Series:
SpringerBriefs in Applied Sciences and Technology
Pages:
102
Synopsis:
In this book a neural network learning method with type-2 fuzzy weight adjustment is proposed. The mathematical analysis of the proposed learning method architecture and the adaptation of type-2 fuzzy weights are presented. The proposed method is based on research of recent methods that handle weight adaptation and especially fuzzy weights.The internal operation of the neuron is changed to work with two internal calculations for the activation function to obtain two results as outputs of the proposed method. Simulation results and a comparative study among monolithic neural networks, neural network with type-1 fuzzy weights and neural network with type-2 fuzzy weights are presented to illustrate the advantages of the proposed method.The proposed approach is based on recent methods that handle adaptation of weights using fuzzy logic of type-1 and type-2. The proposed approach is applied to a cases of prediction for the Mackey-Glass (for o=17) and Dow-Jones time series, and recognition of person with iris biometric measure. In some experiments, noise was applied in different levels to the test data of the Mackey-Glass time series for showing that the type-2 fuzzy backpropagation approach obtains better behavior and tolerance to noise than the other methods.The optimization algorithms that were used are the genetic algorithm and the particle swarm optimization algorithm and the purpose of applying these methods was to find the optimal type-2 fuzzy inference systems for the neural network with type-2 fuzzy weights that permit to obtain the lowest prediction error.
Illustrations:
94 Illustrations, black and white; IX, 102 p. 94 illus.
Publication:
Switzerland
Imprint:
Springer International Publishing AG
Returns:
Returnable
Some other items by this author:
ANALYSIS AND DESIGN OF INTELLIGENT SYSTEMS USING SOFT COMPUTING TECHNIQUES (PB)
BIO-INSPIRED HYBRID INTELLIGENT SYSTEMS FOR IMAGE ANALYSIS AND PATTERN RECOGNITION (HB)
BIO-INSPIRED HYBRID INTELLIGENT SYSTEMS FOR IMAGE ANALYSIS AND PATTERN RECOGNITION (PB)
CHEMICAL OPTIMIZATION ALGORITHM FOR FUZZY CONTROLLER DESIGN (PB)
DESIGN OF INTELLIGENT SYSTEMS BASED ON FUZZY LOGIC, NEURAL NETWORKS AND NATURE-INSPIRED OPTIMIZATION (HB)
DESIGN OF INTELLIGENT SYSTEMS BASED ON FUZZY LOGIC, NEURAL NETWORKS AND NATURE-INSPIRED OPTIMIZATION (PB)
DYNAMIC PARAMETER ADAPTATION FOR META-HEURISTIC OPTIMIZATION ALGORITHMS THROUGH TYPE-2 FUZZY LOGIC (HB)
EDGE DETECTION METHODS BASED ON GENERALIZED TYPE-2 FUZZY LOGIC (PB)
ENSEMBLES OF TYPE 2 FUZZY NEURAL MODELS AND THEIR OPTIMIZATION WITH BIO-INSPIRED ALGORITHMS FOR TIME SERIES PREDICTION (HB)
EXTENSION OF THE FUZZY SUGENO INTEGRAL BASED ON GENERALIZED TYPE-2 FUZZY LOGIC (PB)
FOUNDATIONS OF FUZZY LOGIC AND SOFT COMPUTING (PB)
FUZZY LOGIC AUGMENTATION OF NATURE-INSPIRED OPTIMIZATION METAHEURISTICS (HB)
FUZZY LOGIC AUGMENTATION OF NATURE-INSPIRED OPTIMIZATION METAHEURISTICS (PB)
FUZZY LOGIC IN INTELLIGENT SYSTEM DESIGN (PB)
GENERAL TYPE-2 FUZZY LOGIC IN DYNAMIC PARAMETER ADAPTATION FOR THE HARMONY SEARCH ALGORITHM
HIERARCHICAL MODULAR GRANULAR NEURAL NETWORKS WITH FUZZY AGGREGATION (PB)
HYBRID INTELLIGENT SYSTEMS (HB)
HYBRID INTELLIGENT SYSTEMS (PB)
HYBRID INTELLIGENT SYSTEMS FOR PATTERN RECOGNITION USING SOFT COMPUTING (HB)
HYBRID INTELLIGENT SYSTEMS FOR PATTERN RECOGNITION USING SOFT COMPUTING (PB)
INTERVAL TYPE-3 FUZZY SYSTEMS: THEORY AND DESIGN
INTERVAL TYPE-3 FUZZY SYSTEMS: THEORY AND DESIGN (HB)
MODELLING, SIMULATION AND CONTROL OF NON-LINEAR DYNAMICAL SYSTEMS
MODELLING, SIMULATION AND CONTROL OF NON-LINEAR DYNAMICAL SYSTEMS
MODELLING, SIMULATION AND CONTROL OF NON-LINEAR DYNAMICAL SYSTEMS (HB)
MODULAR NEURAL NETWORKS AND TYPE-2 FUZZY SYSTEMS FOR PATTERN RECOGNITION (HB)
MODULAR NEURAL NETWORKS AND TYPE-2 FUZZY SYSTEMS FOR PATTERN RECOGNITION (PB)
MYCORRHIZA OPTIMIZATION ALGORITHM
NATURE-INSPIRED DESIGN OF HYBRID INTELLI (PB)
NATURE-INSPIRED DESIGN OF HYBRID INTELLIGENT SYSTEMS (HB)
NATURE-INSPIRED OPTIMIZATION OF TYPE-2 FUZZY NEURAL HYBRID MODELS FOR CLASSIFICATION IN MEDICAL DIAGNOSIS
NEURO FUZZY HYBRID MODELS FOR CLASSIFICATION IN MEDICAL DIAGNOSIS
NEW BIO-INSPIRED OPTIMIZATION ALGORITHM BASED ON THE SELF-DEFENSE MECHANISM OF PLANTS IN NATURE
NEW CLASSIFICATION METHOD BASED ON MODULAR NEURAL NETWORKS WITH THE LVQ ALGORITHM AND TYPE-2 FUZZY LOGIC (PB)
NEW HYBRID INTELLIGENT SYSTEMS FOR DIAGNOSIS AND RISK EVALUATION OF ARTERIAL HYPERTENSION (PB)
NEW MEDICAL DIAGNOSIS MODELS BASED ON GENERALIZED TYPE-2 FUZZY LOGIC
RECENT ADVANCES IN INTERVAL TYPE-2 FUZZY SYSTEMS (PB)
RECENT ADVANCES ON HYBRID APPROACHES FOR DESIGNING INTELLIGENT SYSTEMS (HB)
RECENT ADVANCES ON HYBRID APPROACHES FOR DESIGNING INTELLIGENT SYSTEMS (PB)
RECENT ADVANCES ON HYBRID INTELLIGENT SYSTEMS (HB)
RECENT ADVANCES ON HYBRID INTELLIGENT SYSTEMS (PB)
SOFT COMPUTING AND FRACTAL THEORY FOR INTELLIGENT MANUFACTURING (HB)
SOFT COMPUTING AND FRACTAL THEORY FOR INTELLIGENT MANUFACTURING (PB)
SOFT COMPUTING APPLICATIONS IN OPTIMIZATION, CONTROL, AND RECOGNITION (HB)
SOFT COMPUTING APPLICATIONS IN OPTIMIZATION, CONTROL, AND RECOGNITION (PB)
SOFT COMPUTING FOR CONTROL OF NON-LINEAR DYNAMICAL SYSTEMS (HB)
SOFT COMPUTING FOR CONTROL OF NON-LINEAR DYNAMICAL SYSTEMS (PB)
SOFT COMPUTING FOR HYBRID INTELLIGENT SYSTEMS (HB)
SOFT COMPUTING FOR HYBRID INTELLIGENT SYSTEMS (PB)
SOFT COMPUTING FOR RECOGNITION BASED ON BIOMETRICS (HB)
SOFT COMPUTING FOR RECOGNITION BASED ON BIOMETRICS (PB)
THEORETICAL ADVANCES AND APPLICATIONS OF FUZZY LOGIC AND SOFT COMPUTING (PB)
TYPE-2 FUZZY LOGIC: THEORY AND APPLICATIONS (HB)
TYPE-2 FUZZY LOGIC: THEORY AND APPLICATIONS (PB)
TOP SELLERS IN THIS CATEGORY
Deep Learning
(Hardback)
By:
Yoshua Bengio
MIT Press Ltd
Our Price :
£76.00
Elements of Causal Inference
(Hardback)
By:
Bernhard Scholkopf, Jonas Peters, Dominik Janzing
MIT Press Ltd
Our Price :
£34.40
Neural Networks for Pattern Recognition
(Paperback)
By:
Christopher M. Bishop
Oxford University Press
Our Price :
£72.63
Information, Physics, and Computation
(Hardback)
By:
Marc Mezard, Andrea Montanari
Oxford University Press
Our Price :
£74.00
Neuronal Dynamics
(Paperback)
By:
Wulfram Gerstner, Werner M. Kistler, Richard Naud
Cambridge University Press
Our Price :
£38.69
BROWSE FOR BOOKS IN RELATED CATEGORIES
COMPUTING AND INFORMATION TECHNOLOGY
applications of computing
artificial intelligence
neural networks
Information provided by
www.pickabook.co.uk
SHOPPING BASKET
Your basket is empty
Total Items:
0
Tweet this!
Stumble Upon
Blogger
Delicious
Digg
Facebook
AddThis
NEW
Ramadan and Eid al-Fitr
By:
SARA KHAN
A celebratory, inclusive and educational exploration of Ramadan and Eid al-Fitr for both children that celebrate and children who want to understand and appreciate their peers who do.
Learning
That''s My Story!: Drama for Confidence, Communication and C...
By:
ADAM POWER-ANNAND
The ability to communicate is an essential life skill for all children, underpinning their confidence, personal and social wellbeing, and sense of self.
Learning
Power of 2
By:
DAVID JOSEPH SHARP
Learning
Reading Lessons
By:
CAROL ATHERTON
Easter
Greg the Sausage Roll: Egg-cellent Easter Adventure
By:
MARK HOYLE
Easter
Dear Easter Bunny
By:
MAXINE LEE-MACKIE
Easter
We''re Going on an Egg Hunt
By:
GOLDIE HAWK
Picture Book
Bowerbird
By:
JULIA DONALDSON
Picture Book
Mummy and Me
By:
LYDIA BRIGHT
