Nature

A hybrid artificial neural network and multi-objective genetic algorithm approach to optimize extraction conditions of Mentha longifolia and biological activities

In the human body, lipids, proteins, carbohydrates, and nucleic acids may undergo oxidation after external chemicals and internal metabolic processes, and oxidation products that may be harmful to the ...
Nature

A multi-objective hybrid algorithm for optimizing neural network architectures in wildlife conservation: a theoretical framework with practical validation

The urgent need for scalable artificial intelligence solutions in wildlife conservation has intensified as biodiversity loss accelerates globally, with current extinction rates estimated at 100-1,000 ...
pv magazine International

PV energy forecasting based on genetic algorithms, dynamic neural network

Researchers from Spain’s Valencia Polytechnic University have developed a novel method for forecasting the power generation of PV systems. Its novelty lies in developing a hyperparameter optimization ...
Science Daily

Hidden geometry of learning: Neural networks think alike

Engineers have uncovered an unexpected pattern in how neural networks -- the systems leading today's AI revolution -- learn, suggesting an answer to one of the most important unanswered questions in ...