Combining TD-learning with Cascade-correlation Networks

First Page		Document Content
Date: 2006-01-11 19:03:13 Artificial intelligence Artificial neural network Backpropagation Supervised learning Cascade correlation algorithm Feedforward neural network Minimax Pruning Q-learning Neural networks Machine learning Mathematics		Combining TD-learning with Cascade-correlation Networks Add to Reading List Source URL: www.aaai.org Download Document from Source Website File Size: 119,04 KB Share Document on Facebook

	Pruning Young Trees Proper pruning is essential in developing a tree with a strong structure and desirable form. Trees that receive the appropriate pruning measures while they are young will require less corrective pruni DocID: 1vdpT - View Document
	Spinogenesis and pruning in the primary auditory cortex of the macaque monkey (Macaca fascicularis): An intracellular injection study of layer III pyramidal cells DocID: 1v4wv - View Document
	Pruning digraphs for reducing catchment zones Fernand Meyer Centre de Morphologie Mathématique 19 March 2017 DocID: 1uVxI - View Document
	Streamside Trees Are Valuable… Many people needlessly cut down trees to have a river view. Use selective clearing and pruning practices to have a filtered view while keeping low shrubs and large trees in place. This N DocID: 1uSpm - View Document
	From Qualitative to Quantitative Dominance Pruning for Optimal Planning ´ Alvaro Torralba Saarland University DocID: 1uQSt - View Document