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Titlebook: Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition; Patricia Melin,Janusz Kacprzyk,Witold Pedrycz Book 200

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https://doi.org/10.1007/978-1-137-08365-4rding are named electromyographic signals or EMG [2-8]. The first clinical use of EMG signals was reported in 1966 by Harddyck. It is not until the 1980´s that clinical methods to monitor EMG of several muscles were achieved [1].
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Prediction of the MXNUSD Exchange Rate Using Hybrid IT2 FLS Forecasterriments show that the exchange rate is predictable. A non-singleton type-1 FLS and an interval type-1 non-singleton type-2 FLS, both using only BP learning method, are used as a benchmarking systems to compare the results of the hybrid interval type-1 non-singleton type-2 FLS (RLS-BP) forecaster.
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Japan, Wirtschaftsmacht des fernen Ostens concept that some have considered to be the most appropriate to solve the point detection task. Hence, the GP generates operators that are conceptually simple and can still achieve a high performance on standard tests.
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Modular Neural Networks with Fuzzy Response Integration for Signature Recognitions that the modular architecture can achieve a very high 98% recognition accuracy with a test set of 150 images. Therefore, we conclude that the proposed architecture provides a suitable platform to build a signature recognition system.
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https://doi.org/10.1007/978-3-642-04516-5Bio-Inspired Hybrid Intelligent Systems; Computational Intelligence; Pattern Recognition; algorithms; fi
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