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Harnessing deep neural networks to solve inverse problems in quantum dynamics: machine-learned predictions of time-dependent optimal control fields

Physical chemistry chemical physics : PCCP, 2020-10, Vol.22 (4), p.22889-22899

2020

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Novel Approach to Estimating Schedule to Completion in Construction Projects Using Sequence and Nonsequence Learning

Journal of construction engineering and management, 2019-11, Vol.145 (11)

2019

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Establishment and analysis of quality art-evaluation model based on BP neural network

Journal of physics. Conference series, 2021-06, Vol.1941 (1), p.12088

Cui, Guoling

2021

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Forecasting tourist visits using data decomposition technique and learning optimization of artificial neural network

Journal of physics. Conference series, 2021-03, Vol.1811 (1), p.12092

2021

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Building feedforward neural networks with random weights for large scale datasets

Expert systems with applications, 2018-09, Vol.106, p.233-243

2018

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Static and Dynamic Neural Networks: From Fundamentals to Advanced Theory

1st ed., 2005

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Modeling and optimization of biogas production from a waste digester using artificial neural network and genetic algorithm

Resources, conservation and recycling, 2010-04, Vol.54 (6), p.359-363

2010

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Time series forecasting with feedforward neural networks trained using particle swarm optimizers for dynamic environments

Neural computing & applications, 2021-04, Vol.33 (7), p.2667-2683

2021

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A new growing pruning deep learning neural network algorithm (GP-DLNN)

Neural computing & applications, 2020-12, Vol.32 (24), p.18143-18159

2020

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Development and validation of a neural network model for predicting growth of Salmonella Newport on diced Roma tomatoes during simulated salad preparation and serving: extrapolation to other serotypes

International journal of food science & technology, 2018-07, Vol.53 (7), p.1789-1801

Oscar, Thomas P.

2018

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Implementing Method of Empirical Mode Decomposition based on Artificial Neural Networks and Genetic Algorithms for Crude Oil Price Forecasting

Journal of physics. Conference series, 2020-07, Vol.1569 (2), p.22075

2020

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A database-driven neural computing framework for classification of vertical jump patterns of healthy female netballers using 3D kinematics–EMG features

Neural computing & applications, 2020-03, Vol.32 (5), p.1481-1500

2020

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Neural networks and animal behavior

STU - Student edition, 2005

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Analysis and prediction of air permeability of woven barrier fabrics with respect to material, fabric construction and process parameters

Fibers and polymers, 2017-10, Vol.18 (10), p.2005-2017

2017

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Density prediction of liquid alkali metals and their mixtures using an artificial neural network method over the whole liquid range

Fluid phase equilibria, 2014-01, Vol.361, p.135-142

2014

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Multi-criteria decision making based architecture selection for single-hidden layer feedforward neural networks

International journal of machine learning and cybernetics, 2019-04, Vol.10 (4), p.655-666

2019

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New hybrid vision-based control approach for automated guided vehicles

International journal of advanced manufacturing technology, 2013-04, Vol.66 (1-4), p.231-249

2013

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Feedforward neural network and ANFIS-based approaches to forecasting the off-cam energy characteristics of Kaplan turbine

Neural computing & applications, 2018-10, Vol.30 (8), p.2569-2579

2018

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Forecasting the volatility of stock price index: A hybrid model integrating LSTM with multiple GARCH-type models

Expert systems with applications, 2018-08, Vol.103, p.25-37

2018

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A Survey on Deep Learning: Algorithms, Techniques, and Applications

ACM computing surveys, 2019-09, Vol.51 (5), p.1-36

2019

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First Principles Neural Network Potentials for Reactive Simulations of Large Molecular and Condensed Systems

Angewandte Chemie (International ed.), 2017-10, Vol.56 (42), p.12828-12840

Behler, Jörg

International ed. in English, 2017

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A biohybrid synapse with neurotransmitter-mediated plasticity

Nature materials, 2020-09, Vol.19 (9), p.969-973

2020

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Ionic modulation and ionic coupling effects in MoS2 devices for neuromorphic computing

Nature materials, 2019-02, Vol.18 (2), p.141-148

2019

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Real-time vibration-based structural damage detection using one-dimensional convolutional neural networks

Journal of sound and vibration, 2017-02, Vol.388, p.154-170

2017

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Image Processing using Pulse-Coupled Neural Networks: Applications in Python

Third edition., 2013

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Harnessing deep neural networks to solve inverse problems in quantum dynamics: machine-learned predictions of time-dependent optimal control fields

Novel Approach to Estimating Schedule to Completion in Construction Projects Using Sequence and Nonsequence Learning

Establishment and analysis of quality art-evaluation model based on BP neural network

Forecasting tourist visits using data decomposition technique and learning optimization of artificial neural network

Building feedforward neural networks with random weights for large scale datasets

Static and Dynamic Neural Networks: From Fundamentals to Advanced Theory

Modeling and optimization of biogas production from a waste digester using artificial neural network and genetic algorithm

Time series forecasting with feedforward neural networks trained using particle swarm optimizers for dynamic environments

A new growing pruning deep learning neural network algorithm (GP-DLNN)

Development and validation of a neural network model for predicting growth of Salmonella Newport on diced Roma tomatoes during simulated salad preparation and serving: extrapolation to other serotypes

Implementing Method of Empirical Mode Decomposition based on Artificial Neural Networks and Genetic Algorithms for Crude Oil Price Forecasting

A database-driven neural computing framework for classification of vertical jump patterns of healthy female netballers using 3D kinematics–EMG features

Neural networks and animal behavior

Analysis and prediction of air permeability of woven barrier fabrics with respect to material, fabric construction and process parameters

Density prediction of liquid alkali metals and their mixtures using an artificial neural network method over the whole liquid range

Multi-criteria decision making based architecture selection for single-hidden layer feedforward neural networks

New hybrid vision-based control approach for automated guided vehicles

Feedforward neural network and ANFIS-based approaches to forecasting the off-cam energy characteristics of Kaplan turbine

Forecasting the volatility of stock price index: A hybrid model integrating LSTM with multiple GARCH-type models

A Survey on Deep Learning: Algorithms, Techniques, and Applications

First Principles Neural Network Potentials for Reactive Simulations of Large Molecular and Condensed Systems

A biohybrid synapse with neurotransmitter-mediated plasticity

Ionic modulation and ionic coupling effects in MoS2 devices for neuromorphic computing

Real-time vibration-based structural damage detection using one-dimensional convolutional neural networks

Image Processing using Pulse-Coupled Neural Networks: Applications in Python

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