摘要
ＴｗｏＣｒｉｔｅｒｉａｆｏｒＬｅａｒｎｉｎｇｉｎＦｅｅｄｆｏｒｗａｒｄＮｅｕｒａｌＮｅｔｗｏｒｋｓＰｅｎｇＨａｎｃｈｕａｎ（彭汉川）１，２ＧａｎＱｉａｎｇ（甘强）１ＷｅｉＹｕ（韦钰）１１，２（ＤｅｐａｒｔｍｅｎｔｏｆＢｉｏｍｅｄｉｃａｌＥｎｇｉｎｅ...
Two criteria for improving the generalization of learning in feedforward neural networks are proposed. Based on the criteria, a multi channel weight sharing neural network is designed and applied to unconstrained handwritten character recognition. Its recognition performance is much better than that of the standard BP network.
