Drosophila wing development is a paradigm for understanding how spatial information is conveyed by morphogen gradients to coordinate pattern formation and organ growth. Central to this process is ...

Find out why backpropagation and gradient descent are key to prediction in machine learning, then get started with training a simple neural network using gradient descent and Java code. Most ...

Aim: To understand the causes of historical and current elevational richness patterns of Leiothrichinae babblers, a diverse and mostly endemic group of birds. Location: A 5000-m elevational gradient ...

Resilient back propagation (Rprop), an algorithm that can be used to train a neural network, is similar to the more common (regular) back-propagation. But it has two main advantages over back ...

This is a preview. Log in through your library . Abstract Residual stress plays an important role in fatigue life resistance of automotive components. Due to the complex nature and combination of ...