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Hybrid Genetic Algorithm (GA)-based neural network for multispectral image fusion

Xia Peng, Anrong Dang
2010 2010 IEEE International Geoscience and Remote Sensing Symposium  
To use multisource data in remote sensing classifications and to effectively extract information, data fusion is the key issue.  ...  Every image fusion algorithm is performed at one of these three levels or some combination thereof. This paper presents a real coded GA strategy and hybrid with a Back Propagation (BP) algorithm.  ...  To use multisource data in remote sensing classifications and to effectively extract information, data fusion is the key issue.  ... 
doi:10.1109/igarss.2010.5654172 dblp:conf/igarss/PengD10 fatcat:evhdfeskfrgnvh2qnspdp6js5y

Research on Seismic Signals for Vehicle Targets and Recognition by Data Fusion

Jinhui Lan, S. Nahavandi, Jingxin Zhang, Hong Zheng, Tian Lan
2003 The Fourth International Conference on Control and Automation 2003 ICCA Final Program and Book of Abstracts ICCA-03  
As a data fusion method, the technique of artificial neural networks combined with genetic algorithm(ANNCGA) is applied for recognition of seismic signals that belong to different kinds of vehicle targets  ...  The algorithm had been used for classification and recognition of seismic signals of vehicle targets in the outdoor environment.  ...  In order to realize the target classification and recognition of a single sensor, a data fusion technique of artificial neural networks combined with genetic algorithm(ANNCGA) is discussed.  ... 
doi:10.1109/icca.2003.1595119 fatcat:65ldn7dgdzgxbctbh5rl4fz2e4

Cooperative perception optimization based on self - checking machine learning

Sun Haoxiang, Chen Changxing, Ling Yunfei, Yang Mu
2019 Computers Materials & Continua  
Then, on the one hand, the weighted fusion criterion of decision-making weight optimization of each node is realized based on a genetic algorithm, and the useless nodes also can be screened out to reduce  ...  In the process of spectrum perception, in order to realize accurate perception of the channel state, the method of multi-node cooperative perception can usually be used.  ...  In order to obtain the optimal weight, genetic algorithm can be used to search for the optimal combination of weights.  ... 
doi:10.32604/cmc.2020.05625 fatcat:ecrbshjroracpmgyrzydv7kmsq

Low Cost and Usable Multimodal Biometric System Based on Keystroke Dynamics and 2D Face Recognition

Romain Giot, Baptiste Hemery, Christophe Rosenberger
2010 2010 20th International Conference on Pattern Recognition  
Different fusion methods have been used (min, max, mul, svm, weighted sum configured with genetic algorithms, and, genetic programming) on the scores of three keystroke dynamics algorithms and two 2D face  ...  We propose in this paper a low cost multimodal biometric system combining keystroke dynamics and 2D face recognition.  ...  We have also used weighted sum configured with genetic algorithms.  ... 
doi:10.1109/icpr.2010.282 dblp:conf/icpr/GiotHR10 fatcat:n6fu47cmrnh6fojaqpyuu4x6g4

Genetic Programming of Heterogeneous Ensembles for Classification [chapter]

Hugo Jair Escalante, Niusvel Acosta-Mendoza, Alicia Morales-Reyes, Andrés Gago-Alonso
2013 Lecture Notes in Computer Science  
This study proposes a novel genetic program that learns a fusion function for combining heterogeneous-classifiers outputs.  ...  Usually, a weighted sum is used for combining classifiers outputs in both classical and evolutionary approaches.  ...  Genetic Programming of Fusion Functions GP is an evolutionary technique in which the solutions are encoded in data structures more complex than binary or real-valued vectors, as in standard genetic algorithms  ... 
doi:10.1007/978-3-642-41822-8_2 fatcat:s2pjq3ekjzdgvfshca6nscadgi

Optimized Participation of Multiple Fusion Functions in Consensus Creation: An Evolutionary Approach [article]

Elaheh Rashedi, Abdolreza Mirzaei
2018 arXiv   pre-print
The quality of the consensus clustering is directly depended on fusion functions used in combination.  ...  Thereafter, the consensus clustering is obtained using the search capability of genetic algorithm among different aggregated clustering methods made by different fusion functions.  ...  Contribution of Genetic Algorithm in combination The proposed method uses the search capability of genetic algorithm to obtain the consensus clustering.  ... 
arXiv:1805.12270v1 fatcat:md5edh5gcrcbjfvztooe7gu33u

LIF TREC VIDEO 2009 High Level Feature Extraction Using Genetic Fusion

Stéphane Ayache
2009 TREC Video Retrieval Evaluation  
We compare the genetic fusion with usual late fusion (sum or weighted sum) in order to combine a lot of classifiers output.  ...  This year, we focused on an optimized fusion by means of Genetic Algorithm.  ...  We compare the genetic fusion with usual late fusion (sum or weighted sum) in order to combine a lot of classifiers output. In next section we present the feature with used to represent video shots.  ... 
dblp:conf/trecvid/Ayache09 fatcat:krgbvi5dwbfmlhokhfqvn6ewdy

Learning and Optimizing the Features with Genetic Algorithms

E. Chandra, K. Nandhini
2010 International Journal of Computer Applications  
By weighing feature vectors representing feature importance using a Genetic Algorithm (GA), we can optimize the prediction accuracy and obtain a marked improvement over raw classification.  ...  The quality of the data being analyzed is a critical factor that affects the accuracy of data mining algorithms.  ...  Filters use general characteristics of the training data to evaluate attributes and operate independently of any learning algorithm.  ... 
doi:10.5120/1393-1877 fatcat:2ih2gnt32bh4rhbvla5k5e6qem

The Application of Data Fusion Technology Based on Neural Network in the Dynamic Risk Assessment

Cheng Xiaorong, Ni Yang Dan, Wang Yingc
2012 Physics Procedia  
The Data Fusion Based On Neural Network Multi-source data fusion technology due to the use of neural network technology, and thus has many advantages: 1) The information of neural networks is stored in  ...  the learning algorithm, has formed based on the improvement genetic algorithm radial direction primary function network, it has overcome the radial direction primary function network in the existing learning  ... 
doi:10.1016/j.phpro.2012.03.297 fatcat:k6bxlrcmavfzhpmpvkjqesaoti


2014 International journal of pattern recognition and artificial intelligence  
In this research, a GP based approach to learn fusion functions that combine classifiers outputs is proposed.  ...  Ensemble learning is a paradigm that aims at combining individual classifiers outputs to improve their performance. Commonly, classifiers outputs are combined by a weighted sum or a voting strategy.  ...  Hence, a total of 40 fusion functions (each learned for a different data set) were used to combine classifiers outputs to test in all data sets.  ... 
doi:10.1142/s0218001414600052 fatcat:pcxl6j5h2zg7roodudnnzcg26m

MLW-gcForest: a multi-weighted gcForest model towards the staging of lung adenocarcinoma based on multi-modal genetic data

Yunyun Dong, Wenkai Yang, Jiawen Wang, Juanjuan Zhao, Yan Qiang, Zijuan Zhao, Ntikurako Guy Fernand Kazihise, Yanfen Cui, Xiaotong Yang, Siyuan Liu
2019 BMC Bioinformatics  
In this paper, we propose a multi-weighted gcForest algorithm (MLW-gcForest) to construct a lung adenocarcinoma staging model using multi-modal genetic data.  ...  Integrating multi-modal genetic data (gene expression RNA-seq, methylation data and copy number variation) from the same patient provides the possibility of using multi-modal genetic data for cancer prediction  ...  Availability of data and materials The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.  ... 
doi:10.1186/s12859-019-3172-z pmid:31726986 pmcid:PMC6857238 fatcat:6mmilextwvesbdevwkwkgodyyu

Review on the Architecture, Algorithm and Fusion Strategies in Ensemble Learning

Shruti Asmita, K.K. Shukla
2014 International Journal of Computer Applications  
This document presents a review on the possible architectures that can be used to build an ensemble model, the techniques in which the opinions of the experts could be combined to give a general improved  ...  model and the algorithms for implementing the Ensemble Learning.  ...  Following are popular algorithms in use. Combination of these basic algorithms may be used to generate some new algorithms which may be more effective than the existing.  ... 
doi:10.5120/18932-0337 fatcat:ienitsbogrevlll2rd7jlfr6ry

Efficient Automatic Image Annotation using Weighted Feature Fusion and its Optimization using Genetic Algorithm

Ajimi Ameer, Sree Kumar.K
2015 Communications on Applied Electronics  
Inorder to assign the fusion weights of multi-feature similarity scores reasonably according to an image, the genetic algorithm is applied.  ...  However, in order to get optimum performance and to reduce the feature dimensionality for making system close to human perception, genetic algorithm (GA) based feature selection is used in this paper.  ...  the momentum and learning rate using Genetic algorithm.  ... 
doi:10.5120/cae-1567 fatcat:5bg52ot5fjdb7ochtml7o3xjta

Construction of Swimmer's Underwater Posture Training Model Based on Multimodal Neural Network Model

Wei Wen, Tingyu Yang, Yanhao Fu, Siwen Liu, Gengxin Sun
2022 Computational Intelligence and Neuroscience  
adaptive genetic algorithm is constructed to perform multimodal information fusion to ensure the effectiveness of the system in the face of complex information.  ...  It completes the data processing, data calculation, and data storage of the inspection system in this paper.  ...  Combining neural networks is to express neural network connection weights and learning criteria in a coding manner.  ... 
doi:10.1155/2022/1134558 pmid:35449735 pmcid:PMC9017539 fatcat:pj3u56xdxvcq5nfjksfqbpsk7e

Efficient Automatic Image Annotation Using Optimized Weighted Complementary Feature Fusion Using Genetic Algorithm

Ajimi Ameer, K. Sree Kumar
2015 Procedia Computer Science  
So, to overcome these problems, in this paper, weights of different features should be assigned appropriately using Genetic algorithm(GA) similar to human perception which gives an optimized feature vector  ...  In conventional methods, equal weights are taken for each feature and this will increase the feature dimensionality and certain image features will override the feature that the user is really interested  ...  Zhao and Song applied the Genetic algorithm in MODIS data combined with linear spectral mixing model [19] to retrieve component temperature.Ashok Samal proposed a method by integrating measures  ... 
doi:10.1016/j.procs.2015.08.094 fatcat:mkey7vejtvbbface3m3ha7esiq
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