Legged locomotion is a desirable ability for robotic systems thanks to its agile mobility and
wide range of motions that it provides. In this paper, the use of neural network-based …

Legged robot platforms, unlike wheeled robots, have a hybrid dynamic structure consisting
of the flight and contact phases of the legs. Since the hybrid dynamic structure and nonlinear …

Artificial neural networks' popularity in the field of machine learning increases day by day
since 2006, foundation date of deep learning. One of the factors which greatly affects the …

Legged locomotion is a desirable ability for robotic systems thanks to its agile mobility and
wide range of motions that it provides. In this paper, the use of neural network-based …

Artificial Neural Networks are clearly influencing the field of machine learning since the age
of the 'Deep Learning', roughly starting after the first 10 years of the 21st century. The neural …

Abstract Artificial Neural Networks (ANNs) are used for different machine learning tasks such
as classification, clustering etc. They have been utilized in important tasks and offering new …

Artificial Neural Networks (ANN) can perform various tasks by modifying their parameters,
determined by initialization methods, using activation functions and learning algorithms …

Network architecture and layer types in the artificial neural network used for two-legged
robot motion control are effective on controller performance. Walking success and speed …

Örneklere bağlı olarak dinamik öğrenme yetenekleri sayesinde, doğrusal ve doğrusal
olmayan ilişkileri çözümleyerek başarılı sonuçlar üreten yapay sinir ağları birçok alanda …

Artificial Neural Networks (ANN) can perform various tasks by modifying their parameters,
determined by initialization methods, using activation functions and learning algorithms …