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foamed concrete compressive strength prediction using adaptive neuro-fuzzy inference system optimized by nature-inspiredalgorithms

Ahmad SHARAFATI, H. NADERPOUR, Sinan Q. SALIH, E. ONYARI, Zaher Mundher YASEEN

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 1,   Pages 61-79 doi: 10.1007/s11709-020-0684-6

Abstract: Concrete compressive strength prediction is an essential process for material design and sustainability. This study investigates several novel hybrid adaptive neuro-fuzzy inference system (ANFIS) evolutionary models, i.e., ANFIS–particle swarm optimization (PSO), ANFIS–ant colony, ANFIS–differential evolution (DE), and ANFIS–genetic algorithm to predict the foamed concrete compressive strength. Several concrete properties, including cement content (C), oven dry density (O), water-to-binder ratio (W), and foamed volume (F) are used as input variables. A relevant data set is obtained from open-access published experimental investigations and used to build predictive models. The performance of the proposed predictive models is evaluated based on the mean performance (MP), which is the mean value of several statistical error indices. To optimize each predictive model and its input variables, univariate (C, O, W, and F), bivariate (C–O, C–W, C–F, O–W, O–F, and W–F), trivariate (C–O–W, C–W–F, O–W–F), and four-variate (C–O–W–F) combinations of input variables are constructed for each model. The results indicate that the best predictions obtained using the univariate, bivariate, trivariate, and four-variate models are ANFIS–DE– (O) (MP= 0.96), ANFIS–PSO– (C-O) (MP= 0.88), ANFIS–DE– (O–W–F) (MP= 0.94), and ANFIS–PSO– (C–O–W–F) (MP= 0.89), respectively. ANFIS–PSO– (C–O) yielded the best accurate prediction of compressive strength with an MP value of 0.96.

Keywords： foamed concrete     adaptive neuro fuzzy inference system     nature-inspired algorithms     prediction of compressive    

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Assessment of novel nature-inspired fuzzy models for predicting long contraction scouring and related

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 3,   Pages 665-681 doi: 10.1007/s11709-021-0713-0

Abstract: The scouring phenomenon is one of the major problems experienced in hydraulic engineering. In this study, an adaptive neuro-fuzzy inference system is hybridized with several evolutionary approaches, including the ant colony optimization, genetic algorithm, teaching-learning-based optimization, biogeographical-based optimization, and invasive weed optimization for estimating the long contraction scour depth. The proposed hybrid models are built using non-dimensional information collected from previous studies. The proposed hybrid intelligent models are evaluated using several statistical performance metrics and graphical presentations. Besides, the uncertainty of models, variables, and data are inspected. Based on the achieved modeling results, adaptive neuro-fuzzy inference system–biogeographic based optimization (ANFIS-BBO) provides superior prediction accuracy compared to others, with a maximum correlation coefficient (Rtest = 0.923) and minimum root mean square error value (RMSEtest = 0.0193). Thus, the proposed ANFIS-BBO is a capable cost-effective method for predicting long contraction scouring, thus, contributing to the base knowledge of hydraulic structure sustainability.

Keywords： long contraction scour     prediction     uncertainty     ANFIS model     meta-heuristic algorithm    

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Thermo-fluidic devices and materials inspired from mass and energy transport phenomena in biological

Jian XIAO , Jing LIU ,

Frontiers in Energy 2009, Volume 3, Issue 1,   Pages 47-59 doi: 10.1007/s11708-008-0068-4

Abstract: Mass and energy transport consists of one of the most significant physiological processes in nature,dedicated to presenting a relatively complete review of the typical devices and materials in clinical use inspired

Keywords： bionics     mass transport     energy transport     artificial devices and materials     biology system     nature phenomena    

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The nature of cancer

Frontiers of Medicine 2023, Volume 17, Issue 4,   Pages 796-803 doi: 10.1007/s11684-022-0975-5

Abstract: The nature of cancer
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Novel quantum-inspired firefly algorithm for optimal power quality monitor placement

Ling Ai WONG,Hussain SHAREEF,Azah MOHAMED,Ahmad Asrul IBRAHIM

Frontiers in Energy 2014, Volume 8, Issue 2,   Pages 254-260 doi: 10.1007/s11708-014-0302-1

Abstract: The application of a quantum-inspired firefly algorithm was introduced to obtain optimal power quality

Keywords： quantum-inspired binary firefly algorithm     topological monitor reach area     power quality    

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Urban agriculture as nature-based solutions: Three key strategies to tackle emerging issues on food security

Frontiers of Engineering Management   Pages 736-741 doi: 10.1007/s42524-023-0262-4

Abstract: Urban agriculture as nature-based solutions: Three key strategies to tackle emerging issues on food security

Keywords： key strategies tackle     Urban agriculture nature     challenges    

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Creative design inspired by biological knowledge: Technologies and methods

Runhua TAN, Wei LIU, Guozhong CAO, Yuan SHI

Frontiers of Mechanical Engineering 2019, Volume 14, Issue 1,   Pages 1-14 doi: 10.1007/s11465-018-0511-0

Abstract: To identify the technologies and methods that can facilitate the development of biologically inspiredbiological-knowledge-based theories and methods and examines the application of biological-knowledge-inspiredresearch thoroughly examines the four dimensions of key technologies that underlie the biologically inspired

Keywords： creative design     biologically inspired methods     key technologies    

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Occurrence and distribution of micro- and mesoplastics in the high-latitude nature reserve, northern

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 9, doi: 10.1007/s11783-022-1534-7

Abstract:

• The first study on micro(meso)plastics (MMPs) in the Liaohe River Reserve is reported.

Keywords： Microplastics     Mesoplastics     Water     Sediment     Characteristic     Risk Assessment    

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Analytical algorithms of compressive bending capacity of bolted circumferential joint in metro shield

Frontiers of Structural and Civil Engineering   Pages 901-914 doi: 10.1007/s11709-023-0915-8

Abstract: Simplified analytical algorithms for four stress stages are established to describe the bearing behaviorsUsing the proposed simplified analytical algorithms, a parametric investigation is conducted to discuss

Keywords： shield tunnel     segment joint     joint structural model     failure mechanism    

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Surgical robotics: A look-back of latest advancement and bio-inspired ways to tackle existing challenges

Yang LIU, Jing LIU

Frontiers of Mechanical Engineering 2012, Volume 7, Issue 4,   Pages 376-384 doi: 10.1007/s11465-012-0352-1

Abstract: an exhaustive evaluation, we would emphasize more on the new insight by digesting the emerging bio-inspiredAs an alternative, bio-inspired methods or materials may shed light on new innovations.with existing strategies still need to be made, attentions should be paid to also borrow ideas from nature

Keywords： minimally invasive surgery     surgical robotics     haptic feedback     miniaturization     bio-inspiration     bionics    

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Deep convolutional tree-inspired network: a decision-tree-structured neural network for hierarchical

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 4,   Pages 814-828 doi: 10.1007/s11465-021-0650-6

Abstract: this paper explores a decision-tree-structured neural network, that is, the deep convolutional tree-inspired

Keywords： bearing     cross-severity fault diagnosis     hierarchical fault diagnosis     convolutional neural network     decision tree    

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Biologically inspired model of path integration based on head direction cells and grid cells

Yang ZHOU,De-wei WU

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 5,   Pages 435-448 doi: 10.1631/FITEE.1500364

Abstract: To provide a bionic approach for the vehicle to achieve path integration, we present a biologically inspired

Keywords： Head direction cells (HDCs)     Grid cells (GCs)     Path integration     Bionic navigation    

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Discussion on the Complex Nature of Modem Engineering Systems Development

Zhao Shaokui

Strategic Study of CAE 2005, Volume 7, Issue 2,   Pages 1-8

Abstract:

The paper discussed the complex nature of development research on modern complex weaponry systems,thinking to use method of systematicism (systematics) to research and deal with problems of complex nature

Keywords： engineering system     complex nature     reductionism     systematicism (systematics)    

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Bio-inspired heuristics hybrid with interior-point method for active noise control systems without identification None

Muhammad Asif Zahoor RAJA, Muhammad Saeed ASLAM, Naveed Ishtiaq CHAUDHARY, Wasim Ullah KHAN

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 2,   Pages 246-259 doi: 10.1631/FITEE.1601028

Abstract: developed for active noise control (ANC) systems using an evolutionary computing technique based on genetic algorithms

Keywords： Active noise control (ANC)     Filtered extended least mean square (FXLMS)     Memetic computing     Genetic algorithms    

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Crack detection of the cantilever beam using new triple hybrid algorithms based on Particle Swarm Optimization

Amin GHANNADIASL; Saeedeh GHAEMIFARD

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 9,   Pages 1127-1140 doi: 10.1007/s11709-022-0838-9

Abstract: This paper deals with the inverse analysis of the crack detection problems using triple hybrid algorithmspaper, this is applied to identify crack location and depth in a cantilever beam using the new hybrid algorithmsThe results show that among the proposed triple hybrid algorithms, the PSO-GA-FA and PSO-GWO-FA algorithms

Keywords： crack     cantilever beam     triple hybrid algorithms     Particle Swarm Optimization    

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Title Author Date Type Operation

foamed concrete compressive strength prediction using adaptive neuro-fuzzy inference system optimized by nature-inspiredalgorithms

Ahmad SHARAFATI, H. NADERPOUR, Sinan Q. SALIH, E. ONYARI, Zaher Mundher YASEEN

Journal Article

Assessment of novel nature-inspired fuzzy models for predicting long contraction scouring and related

Journal Article

Thermo-fluidic devices and materials inspired from mass and energy transport phenomena in biological

Jian XIAO , Jing LIU ,

Journal Article

The nature of cancer

Journal Article

Novel quantum-inspired firefly algorithm for optimal power quality monitor placement

Ling Ai WONG,Hussain SHAREEF,Azah MOHAMED,Ahmad Asrul IBRAHIM

Journal Article

Urban agriculture as nature-based solutions: Three key strategies to tackle emerging issues on food security

Journal Article

Creative design inspired by biological knowledge: Technologies and methods

Runhua TAN, Wei LIU, Guozhong CAO, Yuan SHI

Journal Article

Occurrence and distribution of micro- and mesoplastics in the high-latitude nature reserve, northern

Journal Article

Analytical algorithms of compressive bending capacity of bolted circumferential joint in metro shield

Journal Article

Surgical robotics: A look-back of latest advancement and bio-inspired ways to tackle existing challenges

Yang LIU, Jing LIU

Journal Article

Deep convolutional tree-inspired network: a decision-tree-structured neural network for hierarchical

Journal Article

Biologically inspired model of path integration based on head direction cells and grid cells

Yang ZHOU,De-wei WU

Journal Article

Discussion on the Complex Nature of Modem Engineering Systems Development

Zhao Shaokui

Journal Article

Bio-inspired heuristics hybrid with interior-point method for active noise control systems without identification

Muhammad Asif Zahoor RAJA, Muhammad Saeed ASLAM, Naveed Ishtiaq CHAUDHARY, Wasim Ullah KHAN

Journal Article

Crack detection of the cantilever beam using new triple hybrid algorithms based on Particle Swarm Optimization

Amin GHANNADIASL; Saeedeh GHAEMIFARD

Journal Article