Artificial neural network model

This research focuses on developing a method to optimize the DCNN (Deep Convolutional Neural Network) classification model for plant diseases. We enriched the data by incorporating data from two public datasets, PlantVillage Dataset (PVD) and CroppedPlant Dataset (CPD), and we trained the model using two-step transfer learning.

6p vithomson 02-07-2024 0 0   Download

This study seeks to introduce a more comprehensive assessment method than previous endeavors, particularly concerning the bond strength of FRP bars with various surface types within concrete, spanning normal, high-strength, and ultra-high-strength concrete.

16p vithomson 02-07-2024 0 0   Download

In this study, four machine learning models have been studied which are Artificial Neural Networks, Convolutional Neural Networks, Long Short-Term Memory (LSTM) and Extreme Learning Machine (ELM). They have been used to forecast the solar power of Nhi Ha solar farm in short-term. First, data from Nhi Ha solar farm were collected and underwent preprocessing before being utilized by aforementioned distinct machine learning models.

8p vialicene 02-07-2024 0 0   Download

Part 2 of ebook "Introduction to deep learning: From logical calculus to artificial intelligence" provides readers with contents including: Chapter 4 - Feed forward neural networks; Chapter 5 - Modifications and extensions to a feed-forward neural network; Chapter 6 - Convolutional neural networks; Chapter 7 - Recurrent neural networks; Chapter 8 - Autoencoders; Chapter 9 - Neural language models; Chapter 10 - An overview of different neural network architectures; Chapter 11 - Conclusion;...

107p daonhiennhien 03-07-2024 1 1   Download

Paclitaxel is commonly used as a second-line therapy for advanced gastric cancer (AGC). The decision to proceed with second-line chemotherapy and select an appropriate regimen is critical for vulnerable patients with AGC progressing after first-line chemotherapy.

9p vishanshan 27-06-2024 2 1   Download

In this paper, a miRNA-Disease association prediction model (called TP-MDA) based on tree path global feature extraction and fully connected artificial neural network (FANN) with multi-head self-attention mechanism is proposed.

18p vikoch 27-06-2024 2 1   Download

In this study, a surrogate model based on artificial neural networks (ANN) will be established to predict the mechanical behaviors of the plastic Primitive TPMS reinforced beams. Finite element analysis (FEA) simulation results of different numbers of reinforcement layers and volume fractions were adopted as the model data, the robust model have been owing to a hyperparameter tuning investigation.

10p dathienlang1012 03-05-2024 5 0   Download

Lecture Artificial intelligence: Artificial neural network. This lecture provides students with content including: computing systems inspired by biological neural networks; consists of several processing elements that receive inputs and deliver outputs; "learn" to perform tasks by considering examples; be able to model nonlinear processes;... Please refer to the detailed content of the lecture!

47p codabach1016 03-05-2024 2 0   Download

Lecture Artificial intelligence: Recurrent neural network. This lecture provides students with content including: feedforward neural network; recurrent neural network; language model - character level;... Please refer to the detailed content of the lecture!

16p codabach1016 03-05-2024 1 0   Download

This modeling is performed on an experimental data set of complexes, where the metal ions of these complexes include transition ion metals and lanthanide ion metals. We use these models to develop a series of new thiosemicarbazone and their complexes; simultaneously, the complexes are worked out the stability constants from the novel models.

9p dianmotminh02 03-05-2024 4 1   Download

The appropriate number of neurons in the hidden layer was determined by feature testing of the fit of the weights, and the threshold of the synapse was perfected by testing the features during training.

11p viellison 06-05-2024 3 1   Download

The purpose of this article is to analyze the performance of companies in the slaughterhouse industry in health and safety issues. The research method is quantitative modeling. The main research technique uses a mixed method based on multi-attribute utility method (MAUT) and artificial neural networks (ANN). The research object is 34 slaughterhouse companies located in Southern Brazil. Then, we ranked the companies and modeled their decision trees using the MAUT method.

9p longtimenosee10 26-04-2024 2 1   Download

The research subject is the process of economic and mathematical modelling of time series characterizing the bitcoin exchange rate volatility, based on the use of artificial neural networks. The purpose of the work is to search and scientifically substantiate the tools and mechanisms for developing prognostic estimates of the crypto currency market development. The paper considers the task of financial time series trend forecasting using the LSTM neural network for supply chain strategies.

5p longtimenosee09 08-04-2024 6 1   Download

Time series data is a series of values observed through repeated measurements at different times. Time series data is a type of data present in almost all different fields of life. Time series prediction is an significant problem in time series data mining.

7p vilarry 01-04-2024 3 1   Download

Ebook "Predictive microbiology in foods" presents the concepts, models, most significant advances, and future trends in predictive microbiology. It will discuss the history and basic concepts of predictive microbiology. The most frequently used models will be explained, and the most significant software and databases (e.g., Combase, Sym’Previus) will be reviewed.

132p coduathanh1122 27-03-2024 1 1   Download

This study aims to develop a theoretical model that examines the influence of trustee characteristics on customer trust, attitude, and willingness to buy, using the theory of reasoned action (TRA). A survey was conducted, collecting 200 valid questionnaires from customers in Vietnam who use Instagram, Facebook, Twitter, and TikTok.

20p vibego 02-02-2024 4 0   Download

This article presents the results of improving an artificial neural network (ANN) to predict the tool wear in high-speed dry turning of SKD11 steel. The original ANN was a backpropagation (BPN) model with the Gradient Descent algorithm (GD). In the improved model, so-called ANN-CS, some parameters were optimized by the Cuckoo search algorithm (CS).

15p vibego 02-02-2024 2 1   Download

The molecular descriptors, physicochemical and quantum descriptors of complexes were generated from molecular geometric structure and semi-empirical quantum calculation PM7 and PM7/sparkle.

13p vimarillynhewson 02-01-2024 3 0   Download

Cutting force (CF) is one of the most important factors in improving machining efficiency. It directly affects the cutting tool life and the quality of the product. This paper presents the results of building a model to predict the value of the cutting force components using a back-propagation (BP) neural network when dry and hard turning SKD11 steel after heat treatment.

7p vimarillynhewson 02-01-2024 5 3   Download

Radiotherapy has been widely used to treat various cancers, but its efcacy depends on the individual involved. Traditional gene-based machine-learning models have been widely used to predict radiosensitivity.

15p vileonardodavinci 23-12-2023 6 3   Download