Suchergebnisse - Resilient back-propagation algorithm

Improved Prediction of Michaelis Constants in CYP450-Mediated Reactions by Resilient Back Propagation Algorithm von Dai, Hao, Xu, Qin, Xiong, Yi, Liu, Wei-Lin, Wei, Dong-Qing

“… To predict Km of substrates metabolized by various CYP isoforms, we developed a general prediction model by using resilient back-propagation neutral network algorithm, based on the structural …”
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A comparative analysis of neural network function: resilient back propagation algorithm (BPA) and radial basis functions (RBF) in multilingual environment von Vinay, Kumar Jain

“… The most convenient speech processing tool is Artificial Neural Networks (ANNs). The effectiveness has been tested with various real-time applications. The …”
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Evolving Resilient Back-Propagation Algorithm for Energy Efficiency Problem von Yang, Fei, Gao, Pengdong, Lu, Yongquan

“… Comparison results show that Rprop with GA can successfully improve the global convergence capability of Rprop and achieve lower MSE than other perceptron training algorithms, such as Back-Propagation or original Rprop. In addition, the trained network has better generalization ability and stabilization performance …”
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Four-layer perceptron approach for strength prediction of UHPC von 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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Experimental investigation and empirical modelling of FDM process for compressive strength improvement von Sood, Anoop K., Ohdar, Raj K., Mahapatra, Siba S.

“… Fused deposition modelling (FDM) is gaining distinct advantage in manufacturing industries because of its ability to manufacture parts with complex shapes …”
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Resilient back-propagation approach in small-world feed-forward neural network topology based on Newman–Watts algorithm von Erkaymaz, Okan

“… In this study, we investigate the effects of the Resilient back-propagation algorithm on SW network topology and propose a Resilient Newman …”
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Resilient back-propagation algorithm, technical analysis and the predictability of time series in the financial industry von Salim Lahmiri

“… In this paper, different technical analysis measures and resilient back-propagation neural networks are used to predict the price level of five major developed international stock markets, namely the US …”
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An investigation on sliding wear of FDM built parts von Sood, Anoop Kumar, Equbal, Asif, Toppo, Vijay, Ohdar, R.K., Mahapatra, S.S.

“… Present work focuses on extensive study to understand the effect of five important parameters such as layer thickness, part build orientation, raster angle, …”
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Resilient back propagation learning algorithm for recurrent fuzzy neural networks von Mastorocostas, P.A.

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Stacked Autoencoder for classification of glioma grade III and grade IV von Patil, Supriya, Naik, Gourish, Pai, Radhakrishna, Gad, Rajendra

“… •Stacked Autoencoder algorithm gives best possible compromise between number of genes and accuracy …”
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Identification of Volcano Hotspots by using Resilient Back Propagation (RBP) Algorithm Via Satellite Images von Rathnam, S. Muni, Ramashri, T.

“… The explosive growth of remote sensing technology, internet and multimedia systems poses great challenge in handling huge amount of data. Advancement in the …”
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Utilization of Resilient Back Propagation Algorithm and Discrete Wavelet Transform for the Differential Protection of Three Phase Power Transformer von Reddy, L. Rajesh, Patel, Preet, Rajendra, Shah Krupa

“… ) for classifying inrush and internal fault current. Initially, MLFFNN is trained by Resilient Back Propagation Algorithm (RBPA …”
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A P2P Botnet detection scheme based on decision tree and adaptive multilayer neural networks von Alauthaman, Mohammad, Aslam, Nauman, Zhang, Li, Alasem, Rafe, Hossain, M. A.

“… In recent years, Botnets have been adopted as a popular method to carry and spread many malicious codes on the Internet. These malicious codes pave the way to …”
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Resilient back propagation learning algorithm for recurrent fuzzy neural networks von Mastorocostas, P A

“… A comparative analysis with the standard back propagation through time is given, indicating the effectiveness of the proposed algorithm …”
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Performance evaluation of an ANN-GA aided experimental modeling and optimization procedure for enhanced synthesis of marine biosurfactant in a stirred tank reactor von Sivapathasekaran, Chandrasekaran, Sen, Ramkrishna

“… BACKGROUND: An improved resilient back‐propagation neural network modeling coupled with genetic algorithm aided optimization technique was employed for optimizing the process variables to maximize lipopeptide biosurfactant production …”
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Machine-learning based temperature- and rate-dependent plasticity model: Application to analysis of fracture experiments on DP steel von Li, Xueyang, Roth, Christian C., Mohr, Dirk

“… Slow, intermediate and high strain rate experiments are carried out on flat smooth and notched tensile specimens extracted from dual phase steel sheets. A …”
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A Novel Breast Cancer Diagnosis Scheme With Intelligent Feature and Parameter Selections von Punitha, S., Stephan, Thompson, Gandomi, Amir H.

“… •HABC is tested with resilient backpropagation, Levenberg Marquardt, gradient descent …”
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RPROP Algorithm in feature-level fusion recognition von Liu Hui-min, Li Xiang, Wang Hong-giang, Fu Yao-wen, Shen Rong-jun

“… ), the variable learning-rate BP (VLBP), the adaptive momentum BP (AMOBP) and resilient BP (RPROP) algorithms were emulated when they were applied in feature-level fusion recognition …”
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Operational modal analysis based on neural network with singular value decomposition von Qin, Min, Chen, Huaihai

“… In addition, an improved resilient back propagation (RPROP) algorithm is a fast and accurate batch learning methods for neural networks, which is used in the BPNN …”
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Performance Analysis of Different ANN-based Weight Updating Algorithms in Forecasting Short-Term Load Demands in Cluster Microgrids von Rao, S. N. V. Bramareswara, Kumar, Y. V. Pavan

“… ), BFGS Quasi-Newton (BFGS-QN), and Resilient Back Propagation algorithms (RBP) are investigated to forecast the load demands on 24-hours …”
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