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Echo state networks (ESNs) have become one of the most effective recurrent neural networks because of its good prediction performance in real-valued time-series modeling tasks and simple training processes. The original ESN concept uses fixed randomly created reservoirs, and this concept is considered of its main advantages. However, ESN has been criticized for its randomly created connectivity and...
In this paper, an optimized multilayer feed-forward network (MLFN) is developed to construct a soft sensor for controlling naphtha dry point. To overcome the two main flaws in the structure and weight of MLFNs, which are trained by a back-propagation learning algorithm, minimal redundancy maximal relevance-partial mutual information clustering (mPMIc) integrated with least square regression (LSR)...
Flight delay early warning can reduce the negative impact of the delay. Determining the delay grade of each interval is essentially a multi-class classification problem. This paper presents a flight delay early warning model based on a fuzzy support vector machine with weighted margin (WMSVM) , which adjust the penalties to samples and the margins between samples and the hyperplane according to the...
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