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
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...
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 u...
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...
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% traini...
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...
In this study, 6 classification methods such as Naive Bayes (NB), Logistic Regression (LR), Support Vector Machine (SVM), Decision Tree (DT), Random Forest (RF) and Artificial Neural Network (ANN) were used by using libraries in Python programming language. Within the...
Building and developing Artificial Neural Network algorithms in creating an optimal system to provide recommendations for human mental health consultations from the experts, with the focus on accurate and precise input and output data with Natural Language Processing (NLP), Artificial Neura...