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Temporal data mining using genetic algorithm and neural network —A case study of air pollutant forecasts
2004
Geo-spatial Information Science
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Therefore this paper integrated genetic algorithm and neural network techniques to build new temporal predicting analysis tools for Geographic Information System (GIS). ...
Artificial intelligence technology like neural network and genetic algorithm can easily cope with highly complicated and non-linear combined spatial and temporal issues. ...
Artificial intelligent technology modules Step5: Select, using genetic algorithms and neural network as the model of air pollutants forecast Step6: Adjust the parameters of the genetic algorithms (the ...
doi:10.1007/bf02826674
fatcat:ds4yyw7dk5fmfcnywqmav5xbne
Scale Independence in the Visual System
[chapter]
2004
Studies in Fuzziness and Soft Computing
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even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. ...
© Springer-Verlag Berlin Heidelberg 2004 Softcover reprint of the hardcover 1st edition 2004 The use of general descriptive names, registered names trademarks, etc. in this publication does not imply, ...
neural networks and use of artificial neural networks to sol ve real world problems. ...
doi:10.1007/978-3-540-39935-3_1
fatcat:ndxvzjuncjhhthkbw4bcbumxem
Multi-grid cellular genetic algorithm for optimizing variable ordering of ROBDDs
2012
2012 IEEE Congress on Evolutionary Computation
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The approach systematically produces better results than the used basic genetic algorithm and better or similar results with other heuristic methods. ...
The extensive experimental evaluation uses difficult classical benchmarks and proves the efficiency and the stability of the algorithm. ...
for Neural Networks 247, Glenn Francis and Sandra Stein, Prediction of Histologic Grade in Breast Cancer using an Artificial Neural Network. 266, Yozo Suzuki, Michimasa Kitahara and Masaki Kobayashi, ...
doi:10.1109/cec.2012.6256590
dblp:conf/cec/RotaruB12
fatcat:4ly3nrktw5habc6lf5err7d5py
Table of Contents
2020
2020 IEEE Symposium Series on Computational Intelligence (SSCI)
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Time Series Forecasting with Temporal Attention Convolutional Neural Networks Leonardos Pantiskas, Kees Verstoep and Henri Bal .......... 1687 Online System Identification for Nonlinear Uncertain Dynamical ...
.......... 281 Using Neural Networks and Diversifying Differential Evolution for Dynamic Optimisation Maryam Hasani Shoreh, Renato Hermoza Aragones and Frank Neumann .......... 289 Responsive Multi-population ...
doi:10.1109/ssci47803.2020.9308155
fatcat:hyargfnk4vevpnooatlovxm4li
A survey on ecg signal monitoring through sensor and prediction of heart attack with the help of optimized neural network using genetic algorithm
2016
International Journal of Latest Trends in Engineering and Technology
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Neural Network is widely used tool for predicting heart diseases diagnosis. A Heart Disease Prediction System is developed using Neural Network and Genetic Algorithm. ...
OBJECTIVES: The major objective of this research is to monitor heart related activity using ECG sensor for prediction of heart attack using optimized neural network using genetic algorithm and enhance ...
doi:10.21172/1.81.019
fatcat:7i26g3ga5bectgjx3jq5wf4jku
THE SURVEY OF SOFT COMPUTING TECHNIQUES FOR RELIABILITY PREDICTION
2015
Journal of KONES Powertrain and Transport
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The artificial intelligence is frequently addressed to the predictive problem by utilizing the learning capability of artificial neural network (ANN), and possibility of nonlinear mapping using fuzzy rules-based ...
system (FRBS) or recognizing and optimizing data-derived pattern by using evolutionary algorithms. ...
The prediction model was offline and online tested with use of time-series algorithms and the artificial neural network. ...
doi:10.5604/12314005.1138154
fatcat:rpenk3etgbc2dgsza6ula6otwq
Artificial Intelligence in Civil Engineering
2012
Mathematical Problems in Engineering
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This paper summarizes recently developed methods and theories in the developing direction for applications of artificial intelligence in civil engineering, including evolutionary computation, neural networks ...
, fuzzy systems, expert system, reasoning, classification, and learning, as well as others like chaos theory, cuckoo search, firefly algorithm, knowledge-based engineering, and simulated annealing. ...
, and multi-stage objective functions. ...
doi:10.1155/2012/145974
fatcat:asd3grpoabf5xn6tdpctxkxtwy
Ecological Model of Groundwater Environment Based on Hybrid Soft Computing Method
2017
Revista Técnica de la Facultad de Ingeniería Universidad del Zulia
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algorithm optimization, and it's includes the difference evolution algorithm and the neural network module. ...
The experimental results show that there is no significant positive correlation between the correlation of the samples and the prediction accuracy, while the network structure and the representation of ...
In this paper, DE-BP artificial neural network is established by using DE algorithm and neural network (Quiroga and Popescu,2013) . ...
doi:10.21311/001.39.10.43
fatcat:4xo6qlcx2vax7frtibbodni3q4
Applications of Soft Computing in Civil Engineering: A Review
2013
International Journal of Computer Applications
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The review paper presents the applications of two major Soft Computing techniques viz., Artificial Neural Networks and Genetic Algorithms in the field of Civil Engineering, which to some extent has replaced ...
Genetic Algorithms and Fuzzy Logic. ...
Networks and Genetic Algorithms. ...
doi:10.5120/14047-2210
fatcat:ed46xbfhufbdjpdaal6zk4ozoe
Visual Sensation and Perception Computational Models for Deep Learning: State of the art, Challenges and Prospects
[article]
2021
arXiv
pre-print
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Finally, this paper also summarizes the current challenges of visual perception and predicts its future development trends. ...
Computational models inspired by visual perception have the characteristics of complexity and diversity, as they come from many subjects such as cognition science, information science, and artificial intelligence ...
Besides, an adaptive visual interaction mechanism is used in DNN for multi-target dynamic state prediction in a real traffic environment [81] . Furthermore, Wei et al. ...
arXiv:2109.03391v1
fatcat:xtgda2x6azd2laun45tqfj77gi
A Survey on Recurrent Neural Network Based Modelling of Gene Regulatory Network
2016
MOJ Proteomics & Bioinformatics
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Among the different popular models to infer GRN, Recurrent Neural Networks (RNN) are considered as most popular and promising mathematical tool to model the dynamics of, as well as to infer the correct ...
It is observed that finding out the most suitable and efficient optimization techniques for the accurate inference of small artificial, large artificial, Dream4 Network, and real world GRNs with less computational ...
RNN [21] which is a closed loop Neural Network with a delayed feedback variable, and it is suitable to model genetic system dynamics from temporal data. ...
doi:10.15406/mojpb.2016.04.00125
fatcat:htwayj2gvvchjboobxnbqi5tye
Paper Titles
2020
2020 3rd International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)
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using Artificial Neural Network
Roadside Unit Power Saving using Vehicle Detection System in Vehicular Ad-hoc Network
Robust Control Design Procedure and Simulation of PRES Controller having Phase-Locked ...
H I L M N O P Q R S T U V W
A bio-motivated vision system and artificial neural network for autonomous UAV obstacle avoidance
A Combination of Defected Ground Structure and Line Resonator for Mutual ...
doi:10.1109/isriti51436.2020.9315349
fatcat:7lctjs3x45apfgec42ra4u7l2e
Hybrid learning machines
2009
Neurocomputing
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The algorithm is based on a Paretobased multi-objective genetic algorithm, with a special crossover operator that uses clustering validation measures as objective functions. ...
This hybrid system facilitates the intrusion detection in dynamic networks, in a more flexible and adaptable manner. ...
doi:10.1016/j.neucom.2009.02.017
fatcat:jatayx5ec5h5hd72bjrlw2mhie
Program
2009
2009 International Joint Conference on Neural Networks
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P1421 Synthesis of Crossed Dipole Frequency Selective Surfaces Using Genetic Algorithms and Artificial Neural Networks Rossana Cruz, Paulo Silva and Adaildo D'Assuncao P1422 Learning on Class Imbalanced ...
Gaweda, Room: South Hall-Atlanta Merchandise Mart P1101 Using an Artificial Neural Network to Predict Necrotizing Enterocolitis in Premature Infants Martina Mueller, Sarah Taylor, Carol Wagner and Jonas ...
doi:10.1109/ijcnn.2009.5178575
fatcat:kxaceopferd23ps5uyrn3m7xjy
Solar radiation: Cloudiness forecasting using a soft computing approach
2012
Artificial intelligence research
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Artificial Neural Networks, Fuzzy Logic, Evolutionary Programming, Genetic Algorithms, Mimetic Algorithms and Artificial Immune Systems are subfields of soft computing. ...
The combination of meteorological and temporal parameters as inputs of the proposed artificial neural system results the development of an artificial neural technique for the cloudiness prediction, instead ...
results using different artificial neural network architectures. ...
doi:10.5430/air.v2n1p69
fatcat:f4v657panjdozcrt6oaebryohy
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