Book ChapterDOI
Hybrid Rough Neural Network Model for Signature Recognition
Mohamed Elhoseny,Amir Nabil,Aboul Ella Hassanien,Diego Oliva +3 more
- pp 295-318
TLDR
This chapter introduces an offline signature recognition technique using rough neural network and rough set, a new hybrid technique that achieves good results, since the short rough Neural Network algorithm is neglected by the grid features technique, and then the advantages of both techniques are integrated.Abstract:
This chapter introduces an offline signature recognition technique using rough neural network and rough set. Rough neural network tries to find better recognition performance to classify the input offline signature images. Rough sets have provided an array of tools which turned out to be especially adequate for conceptualization, organization, classification, and analysis of various types of data, when dealing with inexact, uncertain, or vague knowledge. Also, rough sets discover hidden pattern and regularities in application. This new hybrid technique achieves good results, since the short rough neural network algorithm is neglected by the grid features technique, and then the advantages of both techniques are integrated.read more
Citations
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Journal ArticleDOI
Charging demand of Plug-in Electric Vehicles: Forecasting travel behavior based on a novel Rough Artificial Neural Network approach
Hamidreza Jahangir,Hanif Tayarani,Ali Ahmadian,Masoud Aliakbar Golkar,Jaume Miret,Mohammad Tayarani,H. Oliver Gao,H. Oliver Gao +7 more
TL;DR: To forecast PEV-TB an artificial intelligence-based method -feedforward and recurrent Artificial Neural Networks (ANN) with Levenberg Marquardt (LM) training method based on Rough structure - is developed and reduces the aggregators’ financial loss approximately by 16 $/PEV per year compared to the conventional methods.
Posted Content
Biometric Recognition Using Deep Learning: A Survey
TL;DR: This work provides a comprehensive survey of more than 120 promising works on biometric recognition (including face, fingerprint, iris, palmprint, ear, voice, signature, and gait recognition), which deploy deep learning models, and show their strengths and potentials in different applications.
Book ChapterDOI
A Machine Learning Model for Predicting of Chronic Kidney Disease Based Internet of Things and Cloud Computing in Smart Cities
TL;DR: A hybrid intelligent model for predicting CKD based cloud-IOT by using two intelligent techniques, which are linear regression (LR) and neural network (NN), which are used to determine critical factors that influence on CKD is proposed.
Journal ArticleDOI
Machine Learning Based Support System for Students to Select Stream (Subject)
TL;DR: Data mining and machine learning based methods were developed based on information of successful scholars of their stream and information of students such as interest, family background, previous education and other associated can enhance the success in career.
Book ChapterDOI
Secure Data Transmission in WSN: An Overview
TL;DR: This chapter introduces a secure data processing and transmission schema in WSN and proposes and applies an evaluation criteria for the existing secure clustering algorithms.
References
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Journal ArticleDOI
Genetic algorithm based model for optimizing bank lending decisions
TL;DR: An intelligent model based on the Genetic Algorithm to organize bank lending decisions in a highly competitive environment with a credit crunch constraint (GAMCC), which provides a framework to optimize bank objectives when constructing the loan portfolio.
Proceedings ArticleDOI
Handwritten Signature Verification Using Image Invariants and Dynamic Features
TL;DR: The proposed system segments each signature based on its perceptually important points and then computes a number of features that are scale, rotation and displacement invariant, which are used as an input to a neural network for classification.
Proceedings ArticleDOI
Verification of Handwritten Signatures: an Overview
TL;DR: A brief overview of the field of handwritten signature verification is presented and some of the most relevant perspectives are highlighted.
Proceedings ArticleDOI
Loan portfolio optimization using Genetic Algorithm: A case of credit constraints
TL;DR: This work proposes a self-organizing method for dynamically organizing bank lending decision using Genetic Algorithm, which provides a framework to optimize bank objective when constructing the loan portfolio, which maximize the bank profit and minimize the probability of bank default in a search for an optimal, dynamic lending decision.
Dissertation
Off-line signature verification
TL;DR: It is demonstrated that the HMM-based system developed in this dissertation performs better than a typical human being, which implies that it is very likely that a combination of any existing system and the H MM-basedSystem developed inThis dissertation, will result in a superior merged system.