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Integration of neural network and fuzzy logic decision making compared with bilayered neural network in the simulation of daily dew point temperature
Whilst the ANFIS model is extremely stable for almost all numbers of membership functions, the BNN model is highly sensitive to this scale factor to predict DPT.
Prediction of Food Production Using Machine Learning Algorithms of Multilayer Perceptron and ANFIS
First, 70% of this data was used to train ANFIS and MLP, and the remaining 30% of the data was used to test the models.
Hybrid Machine Learning Models for Crop Yield Prediction
Prediction of crop yield is essential for food security policymaking, planning, and trade.
Performance Analysis of Combine Harvester using Hybrid Model of Artificial Neural Networks Particle Swarm Optimization
Novel applications of artificial intelligence for tuning the parameters of industrial machines for optimal performance are emerging at a fast pace.
Comparative Analysis of Single and Hybrid Neuro-Fuzzy-Based Models for an Industrial Heating Ventilation and Air Conditioning Control System
Hybridization of machine learning methods with soft computing techniques is an essential approach to improve the performance of the prediction models.
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