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Diagnosis and Control for Multi-agent Systems Using Immune Networks [chapter]

Yasuhiko Dote
2002 Soft Computing and Industry  
NOMENCLEATURE Nonlinear systems, multi-agent robot, UPS control system, diagnosis, soft computing, immune network, cognitive and reactive distributed artificial intelligence, large-scale and complex systems  ...  other soft computing methodologies based on cognitive distributed artificial intelligence (CDAI) and reactive distributed AI (RDAI) approaches.  ...  CONCLUSIONS Among soft computing methodologies immune networks are suitable to construct reactive distributed artificial intelligence.  ... 
doi:10.1007/978-1-4471-0123-9_1 fatcat:7rmnev5larg5pocwe7jkqhyvu4

Feature Selection Using Artificial Immune Network: An Approach for Software Defect Prediction

Bushra Mumtaz, Summrina Kanwal, Sultan Alamri, Faiza Khan
2021 Intelligent Automation and Soft Computing  
Our approach combines the feature selection capability of the Optimized Artificial Immune Networks (Opt-aiNet) algorithm with benchmark machine-learning classifiers for the better detection of bugs in  ...  Software Defect Prediction (SDP) is a dynamic research field in the software industry. A quality software product results in customer satisfaction.  ...  Figure 1 : The overall workflow of the proposed approach Optimized Artificial Immune Network (Opt-aiNet) The artificial immune network algorithm (aiNet) was inspired by the immune network theory of  ... 
doi:10.32604/iasc.2021.018405 fatcat:pbbk4bcp7vcxjhpvj3eg6q27ee

Artificial Intelligence in Civil Engineering

Pengzhen Lu, Shengyong Chen, Yujun Zheng
2012 Mathematical Problems in Engineering  
Artificial intelligence is a branch of computer science, involved in the research, design, and application of intelligent computer.  ...  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  ...  Artificial intelligence is a branch of computer science, involved in the research, design and application of intelligent computer 1, 2 .  ... 
doi:10.1155/2012/145974 fatcat:asd3grpoabf5xn6tdpctxkxtwy

Predicting financial time series data using artificial immune system-inspired neural networks

Haya Al askar, David Lamb, Abir Jaafar Hussain, Dhiya Al Jumeily, Martin Randles, Paul Fergus
2015 International Journal of Artificial Intelligence and Soft Computing  
data using artificial immune system-inspired neural networks', Int.  ...  A novel dynamic self-organised multilayer neural network based on the immune algorithm for financial time series prediction is presented, combining the properties of both recurrent and self-organised neural  ...  Self-organised network inspired by the immune algorithm Natural computation, specifically in the form of artificial immune systems, has attracted much research interest; from the augmentation of machine-learning  ... 
doi:10.1504/ijaisc.2015.067523 fatcat:kcwkaizeqfalhmagzc36mxo6va

Design of Artificial Neural Networks Based on Genetic Algorithms to Forecast Time Series [chapter]

Juan Peralta, German Gutierrez, Araceli Sanchis
2007 Advances in Soft Computing  
A key issue for these kinds of approaches is what information is included in the chromosome that represents an Artificial Neural Network.  ...  The results for a Direct Encoding Scheme (in order to compare with Indirect Encoding Schemes developed in future works) to design Artificial Neural Networks for NN3 Forecasting Time Series Competition  ...  In Future works our approach will consider, not full connected nets, but Sparsely Connected MLP to obtain a better forecasting, using both Indirect Encoding Scheme, one based on Cellular Automata [8]  ... 
doi:10.1007/978-3-540-74972-1_31 dblp:series/asc/PeraltaGS08 fatcat:tpzz57cicrbgnhd4yjpe2wxvli

Types of classifier in artificial intelligence

Hadis Askarifard
Artificial intelligence or machine intelligence should be considered as the vast domain of junction of many knowledge, sciences and old and new technics.  ...  Thus, we will examine methods such as: expert systems, artificial neural network, Genetic algorithm and fuzzy logics and so on.  ...  Topics Discussed in Artificial .7 Fuzzy control systems Application of artificial intelligence in accounting and financial affairs 4 Artificial intelligence is a combination of some sciences of computer  ... 
doi:10.24297/ijct.v15i1.1716 fatcat:unbnbzp6w5g5todko5pytncyiu

A three-layer back-propagation neural network for spam detection using artificial immune concentration

Guangchen Ruan, Ying Tan
2009 Soft Computing - A Fusion of Foundations, Methodologies and Applications  
A three-layer back-propagation neural network for spam 3 detection using artificial immune concentration Journal: 500 Article: 440 U N C O R R E C T E D P R O O F FOCUS 1 2 4 Guangchen Ruan Ying  ...  al. 2003; Stuart et al. 2004) , Artificial Immune 56 System (AIS) Tan 2007, 2008; Tan and Ruan 57 2007; Oda and White 2003; Secker et al. 2003) .  ... 
doi:10.1007/s00500-009-0440-2 fatcat:nq24aiuc3jfklgz3rbvqagjr2y

Artificial Intelligence in Translational Medicine

Simone Brogi, Vincenzo Calderone
2021 International Journal of Translational Medicine  
As a consequence of the mentioned scenario, scientific vocabulary was enriched by novel lexicons such as machine learning (ML)/deep learning (DL) and overall artificial intelligence (AI).  ...  The huge advancement in Internet web facilities as well as the progress in computing and algorithm development, along with current innovations regarding high-throughput techniques, enable the scientific  ...  intelligence; ANN-artificial neural network; ASD-autism spectrum disorder; BIS-bioimpedance spectroscopy; DL-deep learning; CNN-convolutional neural network; CT-computed tomography; DBT-digital breast  ... 
doi:10.3390/ijtm1030016 fatcat:c6g6ld26gjg6jbkcddauo44qvu

Artificial Intelligence in Radiology-Ethical Considerations

Adrian P Brady, Emanuele Neri
2020 Diagnostics  
Artificial intelligence (AI) is poised to change much about the way we practice radiology in the near future. The power of AI tools has the potential to offer substantial benefit to patients.  ...  Conversely, there are dangers inherent in the deployment of AI in radiology, if this is done without regard to possible ethical risks.  ...  and artificial intelligence.  ... 
doi:10.3390/diagnostics10040231 pmid:32316503 pmcid:PMC7235856 fatcat:wmcaxx2n65ddhf36cjidz57nwu

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.  ...  Soft computing is causing a paradigm shift (breakthrough) in engineering and science fields since it can solve problems that have not been able to be solved by traditional analytic methods [tractability  ...  Later, chaos computing and immune networks were added [4] to explain so-called complex systems [2] , cognitive distributed artificial intelligence, and reactive distributed artificial intelligence  ... 
doi:10.1109/5.949483 fatcat:erzs7fqa35dixgm7mq2efptpai

Real Time Applications of Soft Computing Techniques

Sukumar Senthilkumar
2014 Global Journal of Technology and Optimization  
Novel methodologies such as chaos computing and immune networks are also recently considered to a part of soft computing.  ...  However, the idea behind soft computing is to model cognitive behavior of human mind and it is a foundation of conceptual intelligence in machines.  ...  Novel methodologies such as chaos computing and immune networks are also recently considered to a part of soft computing.  ... 
doi:10.4172/2229-8711.1000e106 fatcat:azuwis6u4jhf3l3gzemtrriehu

Artificial immune systems as a novel soft computing paradigm

L. N. de Castro, J. I. Timmis
2003 Soft Computing - A Fusion of Foundations, Methodologies and Applications  
Artificial immune systems (AIS) can be defined as computational systems inspired by theoretical immunology, observed immune functions, principles and mechanisms in order to solve problems.  ...  Their development and application domains follow those of soft computing paradigms such as artificial neural networks (ANN), evolutionary algorithms (EA) and fuzzy systems (FS).  ...  Once researchers in computational intelligence (soft computing) became aware of these works, interest was established in applying these new immune inspired models to solve problems in computing, engineering  ... 
doi:10.1007/s00500-002-0237-z fatcat:vu7djejgxzdybknasvjjx376xm

Artificial Intelligence and Its Application in Optimization under Uncertainty [chapter]

Saeid Sadeghi, Maghsoud Amiri, Farzaneh Mansoori Mooseloo
2021 Artificial Intelligence  
Nowadays, the increase in data acquisition and availability and complexity around optimization make it imperative to jointly use artificial intelligence (AI) and optimization for devising data-driven and  ...  intelligent decision support systems (DSS).  ...  DL is an ML technique and includes algorithms and computational models that imitate the architecture of the biological neural networks in the brain [artificial neural networks (ANNs)] [25] .  ... 
doi:10.5772/intechopen.98628 fatcat:mtbuaqghgvha3fa64osyahca2q

Emerging Applications of Artificial Intelligence in Neuro-Oncology

Jeffrey D. Rudie, Andreas M. Rauschecker, R. Nick Bryan, Christos Davatzikos, Suyash Mohan
2019 Radiology  
Due to the exponential growth of computational algorithms, artificial intelligence (AI) methods are poised to improve the precision of diagnostic and therapeutic methods in medicine.  ...  pathways and enable better dynamic treatment monitoring in this era of personalized medicine.  ...  Acknowledgments: The authors thank Saima Rathore, PhD, and the Center for Biomedical Image Computing and Analytics for providing several of the images used in this review.  ... 
doi:10.1148/radiol.2018181928 pmid:30667332 pmcid:PMC6389268 fatcat:o62zg4uqajhnpds443vurz4p3u

Applications of Soft Computing Techniques for Pulmonary Tuberculosis Diagnosis

2019 International journal of recent technology and engineering  
Some of these are an artificial neural network, genetic algorithm, and support vector machine, fuzzy logic etc. latest methods in the diagnostic field uses artificial neural network.  ...  that artificial neural network could serve as a valuable decision support tool in various fields, including medicine  ...  Some soft computer techniques used to predict diseases are Fuzzy Logic, Artificial Neural Network and Genetic Algorithm [27] .  ... 
doi:10.35940/ijrte.c1020.1083s219 fatcat:shhgmex2tzebpnnuqzahf5fpnu
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