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By Razvan Dinu, Tiberiu Stratulat (auth.), Ioannis Hatzilygeroudis, Vasile Palade (eds.)

The mix of alternative clever tools is a truly lively learn zone in man made Intelligence (AI). the purpose is to create built-in or hybrid equipment that reap the benefits of each one in their parts. The 3rd Workshop on “Combinations of clever equipment and functions” (CIMA 2012) was once meant to develop into a discussion board for replacing adventure and concepts between researchers and practitioners who're facing combining clever equipment both in keeping with first ideas or within the context of particular functions. CIMA 2012 was once held along side the 22nd eu convention on man made Intelligence (ECAI 2012). This quantity comprises revised models of the papers awarded at CIMA 2012.

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Assuming that the input–output training patterns have been obtained and the initial value of the antecedent parameters (aij , bij , and cij ) have been determined. Step 1. Set n ¼ 1, where n denotes the learning epoch. Step 2. The consequent parameters dkl are updated using the least-squares optimization algorithm described in Sect. 3. Step 3. The outputs of the NF filter are calculated using the new consequent parameters and the result of the objective error function can be obtained. Step 4. If the result of the objective error function is less than the predefined threshold or the maximum number of learning epoch is reached, the learning procedure stops.

Each neuro-fuzzy filter is a first order Sugeno type fuzzy inference system with 4-inputs and 1-output. The proposed impulse noise filter consists of two modes of operation, namely, training and testing (filtering). As demonstrated by the experimental results, the proposed filter not only has the ability of noise attenuation but also possesses desirable capability of details preservation. It significantly outperforms other conventional filters. Keywords Neuro-fuzzy system Á Image processing Á Filtering Á Impulse noise 1 Introduction Images are often corrupted by noise during the acquisition or transmission process.

Similarity. In: Perner, P. ) Case-Based Reasoning on Images and Signals, Studies in Computational Intelligence, vol. 73, pp. 25–90. Springer (2008) 19. : An architecture for multi-dimensional temporal abstraction and its application to support neonatal intensive care. In: Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE, pp. 3752–3756 (2007) 20. : Knowledge acquisition for temporal abstraction. In: Proceedings of AMIA Annual Fall Symposium.

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