+2 MM articles scientifics and academics

35.998 Articles

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Hybrid deep neural network for Bangla automated image descriptor

(1) Md Asifuzzaman Jishan (Department of Statistics, Technische Universität Dortmund, Germany) (2) Khan Raqib Mahmud (University of Liberal Arts Bangladesh, Bangladesh) (3) Abul Kalam Al Azad (University of Liberal Arts Bangladesh, Bangladesh) (4) Md Shahabub Alam (Department of Statistics, Technische Universität Dortmund, Germany) (5) Anif Minhaz Khan (Department of Statistics, Technische Universität Dortmund, Germany)

Automated image to text generation is a computationally challenging computer vision task which requires sufficient comprehension of both syntactic and semantic meaning of an image to generate a meaningful description. Until recent times, it has been studi... see more

convolutional neural network | hybrid recurrent neural network | long short-term memory | bi-directional RNN | natural language descriptors

International Journal of Advances in Intelligent Informatics , 2020

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Hybrid deep neural network for Bangla automated image descriptor

convolutional neural network | hybrid recurrent neural network | long short-term memory | bi-directional RNN | natural language descriptors

IJAIN (International Journal of Advances in Intelligent Informatics) , 2020

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Forecasting electricity load demand using hybrid exponential smoothing-artificial neural network model

(1) Winita Sulandari (Universitas Gadjah Mada Yogyakarta and Universitas Sebelas Maret Surakarta, Indonesia) (2) Subanar Subanar (Universitas Gadjah Mada, Indonesia) (3) Suhartono Suhartono (Institut Teknologi Sepuluh Nopember Surabaya, Indonesia) (4) Herni Utami (Universitas Gadjah Mada, Indonesia)

Short-term electricity load demand forecast is a vital requirements for power systems. This research considers the combination of exponential smoothing for double seasonal patterns and neural network model. The linear version of Holt-Winter method is exte... see more

Holt-Winter | Hybrid model | Exponential smoothing | Neural network | Electricity

International Journal of Advances in Intelligent Informatics , 2016

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STRUCTURAL SYNTHESIS OF HYBRID NEURAL NETWORKS ENSEMBLES

V. M. Sineglazov,O. I. Chumachenko,O. R. Bedukha

It is considered the structural synthesis of hybrid neural networks ensembles. It is chosen the ensemble topology as parallel structure with united layer. It is developed a hybrid algorithm for the problem solution which includes some algorithms prelimina... see more

Hybrid neural networks ensembles | classifier | bootstrap training sample

Electronics and Control Systems , 2018

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Features of hybrid neural networks use with input data of different types

E. I. Chumachenko,D. Yu. Koval,G. A. Sipakov,D. D. Shevchuk

The modified topologies of hybrid neural networks which can work with data of different typesare introduced.

Fuzzy logic | hybrid neural networks

Electronics and Control Systems , 2014

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A HYBRID CASCADE OPTIMIZED NEURAL NETWORK

O. K. Tyshchenko,I. P. Pliss,D. S. Kopaliani

A new architecture and learning algorithms for a hybrid cascade optimized neural network is proposed. The proposed hybrid system is different from existing cascade systems in its capability to operate in an online mode, which allows it to work with both n... see more

neural network | optimal learning | computational intelligence | evolving hybrid system

Radìoelektronika, Ìnformatika, Upravlìnnâ , 2014

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Forecasting electricity load demand using hybrid exponential smoothing-artificial neural network model

Holt-Winter | Hybrid model | Exponential smoothing | Neural network | Electricity

IJAIN (International Journal of Advances in Intelligent Informatics) , 2016

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USE OF APPARATUS OF HYBRID NEURAL NETWORKS FOR EVALUATION OF AN INTELLECTUAL COMPONENT OF THE ENERGY-SAVING POLICY OF THE ENTERPRISE

Vyacheslav Dzhedzhula,Iryna Yepifanova

Intellectual capital has a significant impact on the energy-saving policy, which is an indicator of levels of competitiveness and efficiency of the enterprise. Making decisions on improving the efficiency of energy-saving policies of the enterprise throug... see more

Baltic Journal of Economic Studies , 2018

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ESTIMASI PARAMETER MODEL HYBRIDIZING EXPONENTIAL SMOOTHING DAN NEURAL NETWORK PADA HASIL PENGUKURAN MEAN SEA LEVEL SATELIT ALTIMETRI JASON 2

Novi Mara 10.21831/pg.v7i2.4783

Nilai parameter dari suatu model peramalan dapat diestimasi dengan meminumkan ukuran evaluasi keakuratan peramalan seperti MSE, MAE, MAPE dan AIC. Pada penelitian ini telah dilakukan estimasi parameter hybridizing neural network dengan exponential s... see more

Akurasi | Hybridizing | Exponential Smoothing | Neural Network

Pythagoras: Jurnal pendidikan Matematika , 2012

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