Search Results - "Back propagation algorithm"

Bioprospecting of novel peroxidase from Streptomyces coelicolor strain SPR7 for carcinogenic azo dyes decolorization by Preethi, P. Sai, Vickram, Sundaram, Das, Raja, Hariharan, N.M., Rameshpathy, M., Subbaiya, R., Karmegam, N., Kim, Woong, Govarthanan, M.

“…Peroxidase (POX) is a heme-containing oxidoreductase, its voluminous immuno-diagnostic and bioremediatory intuitions have incited optimization and large…”
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Feedback-based optimization of feed-forward neural network for the modeling of complex nonlinear dynamical systems using novel APSOBP algorithm by R., Shobana, Kumar, Rajesh, Jaint, Bhavnesh

“…This work proposes a novel hybrid Adaptive Particle Swarm Optimization-Back-propagation algorithm for training feed-forward neural networks to identify…”
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A Levy flight-based grey wolf optimizer combined with back-propagation algorithm for neural network training by Amirsadri, Shima, Mousavirad, Seyed Jalaleddin, Ebrahimpour-Komleh, Hossein

“…In the present study, a new algorithm is developed for neural network training by combining a gradient-based and a meta-heuristic algorithm. The new algorithm…”
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Adaptive memetic differential evolution-back propagation-fuzzy neural network algorithm for robot control by Zheng, Kunming, Zhang, Qiuju, Peng, Li, Zeng, Shuisheng

“…•A novel intelligent control approach AMDE-BP-FNN to control complex robot system.•There is layer upon layer of optimal structure for AMDE-BP-FNN.•Making the…”
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Four-layer perceptron approach for strength prediction of UHPC by Abellán-García, Joaquín

“…•A model for predicting the compressive strength of UHPC was developed.•The model considers the inclusion of several SCM as component of UHPC.•The model can be…”
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Fatigue life prediction of metallic materials considering mean stress effects by means of an artificial neural network by Barbosa, Joelton Fonseca, Correia, José A.F.O., Júnior, R.C.S. Freire, Jesus, Abílio M.P. De

“…•A constant life diagram modelling based on artificial neural network is proposed.•An artificial neural network based on a MLP network trained with the BPM is…”
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Optimal parameters selection of back propagation algorithm in the feedforward neural network by Wang, Lihua, Ye, Wenjing, Zhu, Yanjuan, Yang, Fan, Zhou, Yueting

“…•An improved BP algorithm which can seek optimal weights and thresholds is proposed.•The iteration process of the improved BP algorithm can be accelerated.•The…”
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Recurrent context layered radial basis function neural network for the identification of nonlinear dynamical systems by Kumar, Rajesh

“…This paper proposes a novel recurrent context layered radial basis function neural network (RCLRBFNN) for the identification of nonlinear dynamical systems…”
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Application of Legendre Neural Network for solving ordinary differential equations by Mall, Susmita, Chakraverty, S.

“…•Numerical solution of ordinary differential equations using Legendre polynomial based Functional Link Artificial Neural Network (FLANN).•It is a single layer…”
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Artificial neural networks in predicting of the gas molecular diffusion coefficient by Wang, Xiuqing, Daryapour, Mahboobeh, Shahrabadi, Abbas, Pirasteh, Saied, Razavirad, Fatemeh

“…The diffusion coefficient is one of the most important parameters for designing two-phase operations between liquid and gas phases in refineries and…”
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Extreme learning machine: Theory and applications by Huang, Guang-Bin, Zhu, Qin-Yu, Siew, Chee-Kheong

“…It is clear that the learning speed of feedforward neural networks is in general far slower than required and it has been a major bottleneck in their…”
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Assessment of producer gas composition in air gasification of biomass using artificial neural network model by George, Joel, Arun, P., Muraleedharan, C.

“…Energy generation from renewable and carbon-neutral biomass is significant in the context of a sustainable energy framework. Hydrogen can be conveniently…”
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An Efficient JAYA Algorithm with Lévy Flight for Non-linear Channel Equalization by Ingle, Kishor Kisan, Jatoth, Dr. Ravi Kumar

“…•Lévy flight and greedy selection scheme has been incorporated into JAYA algorithm.•The index of Lévy distribution is made adaptive over the course of…”
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A review on current advances in machine learning based diabetes prediction by Jaiswal, Varun, Negi, Anjli, Pal, Tarun

“…•Overview of diverse machine learning techniques that can help in rapid automatic prediction of diabetes.•Data mining techniques for classification of…”
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Multi-objective optimization of the Atkinson cycle gasoline engine using NSGA Ⅲ coupled with support vector machine and back-propagation algorithm by Li, Yangyang, Zhou, Shi, Liu, Jingping, Tong, Ji, Dang, Jian, Yang, Fuyuan, Ouyang, Minggao

“…This paper presents an optimization method using Non-dominated Sorting Genetic Algorithm (NSGA) Ⅲ to drive support vector machine (SVM). In the NSGA Ⅲ…”
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Artificial neural network for predicting nuclear power plant dynamic behaviors by El-Sefy, M., Yosri, A., El-Dakhakhni, W., Nagasaki, S., Wiebe, L.

“…A Nuclear Power Plant (NPP) is a complex dynamic system-of-systems with highly nonlinear behaviors. In order to control the plant operation under both normal…”
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Application of GA/PSO Metaheuristic Algorithms Coupled with Deep Neural Networks for Predicting the Fracability Index of Shale Gas Formations by Nadege, Mbula Ngoy, Shu, Biao, Ngungu, Meshac B., Arthur, Mutangala Emmanuel, Dominique, Kouassi Verena

“…Shale gas reserves represent a significant source of natural gas, but unlocking their full potential depends on effective hydraulic fracturing. This research…”
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Control of DSTATCOM Using ANN-BP Algorithm for the Grid Connected Wind Energy System by Irfan, Mohammad Mujahid, Malaji, Sushama, Patsa, Chandrashekhar, Rangarajan, Shriram S., Hussain, S. M. Suhail

“…Green energy sources are implemented for the generation of power due to their substantial advantages. Wind generation is the best among renewable options for…”
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The performance evaluation of global expansion strategies of Chinese law firms based on the improved back propagation prediction model by Chen, Fang, Khan, Shereen, Wei, Choon Shay

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Multi-threaded learning control mechanism for neural networks by Połap, Dawid, Woźniak, Marcin, Wei, Wei, Damaševičius, Robertas

“…Neural networks are applicable in many solutions for classification, prediction, control, etc. The variety of purposes is growing but with each new application…”
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