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For training algorithms of recurrent neural networks (RNN), convergent speed and training error are always two contradictory performances. In this letter, we propose a normalized adaptive recurrent learning (NARL) to obtain a tradeoff between transient and steady-state response. An augmented term is added to error gradient to exactly model the derivative of(More)
Plagiogrammaceae, a poorly described family of diatoms, are common inhabitants of the shallow marine littoral zone, occurring either in the sediments or as epiphytes. Previous molecular phylogenies of the Plagiogrammaceae were inferred but included only up to six genera: Plagiogramma, Dimeregramma, Neofragilaria, Talaroneis, Psammogramma and Psammoneis. In(More)
Droplet analysis technology developed rapidly, the recognition of droplet fingerprint become more and more important. In this paper, we introduce the waveform analysis method which used for feature extraction, and the principle of Naive Bayes classifier. The recognition rate of the droplet fingerprint recognition method which combines waveform analysis and(More)
BACKGROUND We aimed to evaluate the combination therapy of Chinese herbs plus interferon and ribavirin in treatment of patients with chronic hepatitis C (CHC). MATERIAL AND METHODS Related databases were searched to identify randomized controlled trials (RCTs) that evaluated biochemical response, virological response, histological response, and/or adverse(More)
Many applications of natural language processing (NLP) need an accurate resolution of various ambiguities existing in natural language. The task of fulfilling this need is also called word sense disambiguation (WSD). WSD is to resolve the correct sense for an instance of a polysemous word. On the other hand, as one of the most popular machine learning(More)
In order to effectively characterize the Liquid Drop Fingerprint (LDF) of different liquids, a new method based on Bezier curve fitting is put forward. The fitting curve is calculated by the least square method. To decrease the fitting error and the feature dimension, the Bezier curve order should be reasonably chosen, combining the particularity of LDF.(More)
Chaotic neural networks have been successfully applied in pattern association problems in many research. However there are few in-depth theoretical analysis for such networks, such as stability issues. In this paper, we propose a new type of chaotic recurrent neural network (CRNN) which is more powerful in pattern association comparing to previous work.(More)
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