Research conducted on time series data on the Rupiah exchange rate against Sandbox tokens for the period 14 August 2020 to 30 June 2023 using Artificial Neural Network (ANN) optimization with a genetic algorithm. The research results reveal that the genetic algorithm can be us...
This artificial neural network is trained with the Levenberg-Marquardt method. Regression R values, one of the performance indicators of the model, were determined as 0,99 for training data, 0,97 for validation data and 0,99 for test data. The regression R-value...
Image ClassificationBack PropagationWe have trained Artificial Neural Network (ANN) with back propagation algorithm by using five different foliages. After training process , we have tested 15 similar foliages for each class and classification is desired by ANN. Then we have tried to classify 6 ...
In this article two new algorithms for learning Feed-Forward Artificial Neural Network are presented. In the introduction, a brief description of the development of the existing algorithms and their flaws ...
the authors' team aimed to compare models of machine learning algorithms to find the one that gives better results in prediction Alzheimer's disease. Machine learning models algorithms in this study were built using Random Forest, Artificial Neural Network, Logistic Regression, Support Vector Machines...
An artificial neural network system capable of predicting the forward position of ships, a fuzzy logic system that calculates which of the surrounding ships is at greater risk of collision, and a collision avoidance route using the CSGA (Cuckoo Search-Genetic Algorithm) a...
Afterwards, k-nearest neighbor, artificial neural network (ANN), support vector machine (SVM) and naive Bayes (NB) algorithms applied on each set and risk estimation results were compared. Results: Classification performance from the lowest to the highest for 80% trainin...
In next step, Regenerative Artificial Neural Networks were used together with Mel Frequency Cepstral Coefficient and Dynamic Time Warp methodologies to create similar sounds and the living things were named with their respective sounds. Unlike similar studies, a visual data was appli...
Recently, evolutionary algorithms with global search feature are frequently used as an alternative to algorithms that require derivative knowledge in Artificial Neural Network (ANN) trainings. In this study, ANN training was carried out on Field Programmable Gate Arrays (FPGA) w...
In the proposed NS detection system, artificial intelligence-based algorithms consisting of artificial neural networks and machine learning methods were used for automatic detection of NS tweets shared on social networks. In the first step of the study, basic natural language processin...