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Page 6374 of Mathematical Reviews Vol. , Issue 95j [page]

1995 Mathematical Reviews  
[King, Paul John] (4-COVE-CA; Coventry) Radial basis function artificial neural networks for the inference process in fuzzy logic based control.  ...  Radial basis function artificial neural networks have been shown to be effective in a number of applications, and have the advantage that network training is a very rapid process due to their structure  ... 

Industrial applications of soft computing: a review

Y. Dote, S.J. Ovaska
2001 Proceedings of the IEEE  
Fuzzy logic (FL), neural networks (NN), and evolutionary computation (EC) are the core methodologies of soft computing.  ...  SC has been theoretically developed for the past decade, since L. A. Zadeh proposed the concept in the early 1990s.  ...  Furthermore, the radial basis function network is normalized like fuzzy membership functions.  ... 
doi:10.1109/5.949483 fatcat:erzs7fqa35dixgm7mq2efptpai

Comparison of Detection and Classification of Hard Exudates Using Artificial Neural System vs. SVM Radial Basis Function in Diabetic Retinopathy

V. Sudha, T. R. Ganesh Babu, N. Vikram, R. Raja
2021 MCB Molecular and Cellular Biomechanics  
The evaluation results showed that proposed artificial neural network based on fuzzy approach attained significant results compared to other classifiers.  ...  Though several classifiers are available to detect the exudates this paper makes analysis of support vector machine using radial basis kernel function with proposed ANN technique.  ...  Funding Statement: The authors received no specific funding for this study. Conflicts of Interest: The authors declare that they have no conflicts of interest to report regarding the present study.  ... 
doi:10.32604/mcb.2021.016056 fatcat:jbpdzo2nefhfpkrc2tijmxisqq

Image Edge Detection Algorithm Based on Fuzzy Radial Basis Neural Network

Lin Feng, Jian Wang, Chao Ding, Miaochao Chen
2021 Advances in Mathematical Physics  
The image edge detection algorithm based on fuzzy radial basis fuser can not only speed up the image preprocessing, meet the real-time detection, and reduce the amount of data processed by the upper computer  ...  of fuzzy radial basis fusion discrimination, in terms of preprocessing algorithm, comparing the denoising effect of mean and median filters with different template sizes on paper images with added noise  ...  Acknowledgments This work is supported by the National Key R&D Program of China (No. 2018YFC0809500) and the Key R&D Program of Yunnan Province (202003AC100001).  ... 
doi:10.1155/2021/4405657 fatcat:bo2pa5govvhfvle2qagasly2ke

Prediction of thermal conductivity of rock through physico-mechanical properties

T.N. Singh, S. Sinha, V.K. Singh
2007 Building and Environment  
Present study supports the use of artificial neural network (ANN) and adaptive neuro fuzzy inference system (ANFIS) in the study of thermal conductivity along with other intrinsic properties of rock due  ...  functions generalized regression neural network (GRNN) and more efficient design radial basis network (NEWRB).  ...  Artificial neural networks (ANNs) and adaptive neuro fuzzy inference system (ANFIS) are used in the present study.  ... 
doi:10.1016/j.buildenv.2005.08.022 fatcat:wx5ubi2q2vdnxahjcgjlajqa2m

Comparison of Detection and Classification of Hard Exudates using Artificial Neural System vs SVM Radial Basis Function in Diabetic Retinopathy

V. Sudha, T. R. Ganesh Babu, R. Raja
2020 International Journal of Darshan Institute on Engineering Research & Emerging Technology  
The evaluation results showed that proposed artificial neural network based on fuzzy approach attained significant results compared to other classifiers.  ...  Though several classifiers are available to detect the exudates this paper makes analysis of support vector machine using radial basis kernel function with proposed ANN technique.  ...  We find that artificial inference system outperforms Radial basis function based on SVM kernel and Naïve Bayes method in terms of classification.  ... 
doi:10.32692/ijdi-eret/9.1.2020.2004 fatcat:ooxljocjrvchhefuf33ljezg7i

Scour Depth Prediction in Sand Beds using Artificial Neural Networks and ANFIS Methods

Narges Raeisi, Amin Mahdavi Meymand, Gholamreza Akbarizadeh
2015 Indian Journal of Science and Technology  
Background/Objectives: In this study, the maximum scour depth modeling of Multi-Layer Perceptron based artificial neural network (MLP), Radial Basis Function based neural network (RBF), Adaptive Neural-Fuzzy  ...  Application/Improvements: Percent improvement in the performance of fuzzy neural networks, perceptron neural networks, radial basis neural networks and multiple regression analysis compared to Melville  ...  The process includes the steps of determining the membership functions and fuzzy inference to determine the inference system based on the data, the writing of inference rules and combine them to get a  ... 
doi:10.17485/ijst/2015/v8i19/68625 fatcat:sgqrv7aj35hjbmriuuglaaequa

A Fuzzy Radial Basis Adaptive Inference Network and Its Application to Time-Varying Signal Classification

Long Huang, Shaohua Xu, Kun Liu, Ruiping Yang, Lu Wu, António Dourado
2021 Computational Intelligence and Neuroscience  
A fuzzy radial basis adaptive inference network (FRBAIN) is proposed for multichannel time-varying signal fusion analysis and feature knowledge embedding.  ...  The model which combines the prior signal feature embedding mechanism of the radial basis kernel function with the rule-based logic inference ability of fuzzy system is composed of a multichannel time-varying  ...  A Dynamic Fuzzy Radial Basis Adaptive Inference Network A Fuzzy Radial Basis Neural Network. e information processing domain in RBPNN was extended to fuzzy sets to establish a fuzzy radial basis neural  ... 
doi:10.1155/2021/5528291 fatcat:fa5vwe5b6zc6bpjuiygavdntoa

Machine Learning Algorithms and Wireless Sensor Network Applied to Medical Diagnosis: A Systematic Review

Ibrahim Goni
2019 American Journal of Electromagnetics and Applications  
and soft computing techniques such as Artificial Neural Network, Fuzzy logic Genetic algorithm, Artificial Immune System Swarm intelligence among others or any combination of these techniques Neuro-fuzzy  ...  However the survey believed that combining wireless sensor network with soft computing techniques, artificial intelligence techniques can perform well in providing health care services compare to one technique  ...  techniques used medical diagnosis task with online mode 51 Kamble et al, (2016) [28] Image Processing technique used in detecting TB 52 Ramana & Prasad, (2016) [45] Radial Basis and fuzzy logic  ... 
doi:10.11648/j.ajea.20190702.13 fatcat:6qiqz27scna6jhqg46w74n6ttq

Soft computing techniques for software effort estimation [article]

Sumeet Kaur Sehra, Yadwinder Singh Brar, Navdeep Kaur
2013 arXiv   pre-print
Soft computing is a consortium of methodologies centering in fuzzy logic, artificial neural networks, and evolutionary computation.  ...  The effort invested in a software project is probably one of the most important and most analyzed variables in recent years in the process of project management.  ...  Artificial neural network is utilized to determine the significant fuzzy rules in fuzzy inference processes.  ... 
arXiv:1310.5221v1 fatcat:67m6zixa4rhidmu6doqmigpysy

Investigations on Incipient Fault Diagnosis of Power Transformer Using Neural Networks and Adaptive Neurofuzzy Inference System

Nandkumar Wagh, D. M. Deshpande
2014 Applied Computational Intelligence and Soft Computing  
In the proposed work, a comparison of the diagnosis ability of backpropagation (BP), radial basis function (RBF) neural network, and adaptive neurofuzzy inference system (ANFIS) has been investigated and  ...  the diagnosis results in terms of error measure, accuracy, network training time, and number of iterations are presented.  ...  Thanks are due to the reviewers for their constructive criticism which made it possible to incorporate the changes for better formulation of the paper in true sense.  ... 
doi:10.1155/2014/845815 fatcat:odd3dlqe6vaptf27faoip5kzva

Fire Safety Assessment of High-Rise Buildings Based on Fuzzy Theory and Radial Basis Function Neural Network

Mingbiao Xu, Dehong Peng
2020 Ingénierie des Systèmes d'Information  
To solve the problem, this paper combines the fuzzy logic inference system and radial basis function neural network (RBFNN) into an intelligent assessment method mimicking the nonlinear inference process  ...  To avoid the local minimum trap, the RBFNN was adopted to replace the traditional backpropagation neural network (BPNN), and integrated with the fuzzy logic system, creating an adaptive fuzzy-RBFNN to  ...  On this basis, an adaptive fuzzy-radial basis function neural network (RBFNN) was proposed, and trained with numerous expert evaluation samples.  ... 
doi:10.18280/isi.250215 fatcat:rxhpx27twfb3dp3qrrgllcjcmi

Computer Aided Development of Fuzzy, Neural and Neuro-Fuzzy Systems

Priti Srinivas Sajja
2017 International Journal of Engineering and Applied Computer Science  
The reusable component libraries for fuzzy logic based systems, neural network based system and hybrid system such as neuro-fuzzy system are developed and accommodated in this framework.  ...  The paper illustrates a design of a reusable generic framework to support friendly development of fuzzy, neural network and hybrid systems such as neuro-fuzzy system.  ...  Generation of ANN The artificial neural network repository include code segments for feed forward, radial basis function, Kohonen self organized maps, learning vector quantization, recurrent networks,  ... 
doi:10.24032/ijeacs/0201/02 fatcat:beqv77idhfdtphcj6tpvrgd2i4

The Last State of Artificial Intelligence in Project Management [article]

Mohammad Reza Davahli
2020 arXiv   pre-print
The results indicated that the application of AI in PM was in its early stages and AI models have not applied for multiple PM processes especially in processes groups of project stakeholder management,  ...  However, the most popular PM processes among included papers were project effort prediction and cost estimation, and the most popular AI techniques were support vector machines, neural networks, and genetic  ...  SSRIM employs multivariate adaptive regression splines (MARS), radial basis function neural network (RBFNN), and artificial bee colony (ABC) algorithm [22] .  ... 
arXiv:2012.12262v1 fatcat:q3qxxsb6rbailg7leuoputgphy

Applications Of Artificial Intelligence In Human Life

Rupali Kamble, Prof. Deepali Shah
2018 Zenodo  
This paper gives an introduction to a self-learning system based on RBF neural network and how the system can simulate the traffic police's experience.  ...  This will explore the current use of Artificial Intelligence technologies in Network Intrusion for protecting computer and communication networks from intruders, in the medical area-medicine, to improve  ...  Deepali Shah, Professor, Mumbai University, for her valuable and constructive suggestions and overall help in conducting this research.  ... 
doi:10.5281/zenodo.1302458 fatcat:wkipxybsvbempj7inldxyfe5pa
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