By Leszek Rutkowski, Marcin Korytkowski, Rafal Scherer, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Zurada
The two-volume set LNAI 8467 and LNAI 8468 constitutes the refereed lawsuits of the thirteenth overseas convention on man made Intelligence and delicate Computing, ICAISC 2014, held in Zakopane, Poland in June 2014. The 139 revised complete papers provided within the volumes, have been rigorously reviewed and chosen from 331 submissions. The sixty nine papers integrated within the first quantity are desirous about the subsequent topical sections: Neural Networks and Their purposes, Fuzzy structures and Their purposes, Evolutionary Algorithms and Their purposes, type and Estimation, computing device imaginative and prescient, photograph and Speech research and distinctive consultation three: clever tools in Databases. The seventy one papers within the moment quantity are equipped within the following topics: facts Mining, Bioinformatics, Biometrics and clinical functions, Agent platforms, Robotics and regulate, man made Intelligence in Modeling and Simulation, quite a few difficulties of synthetic Intelligence, distinct consultation 2: computer studying for visible info research and safety, particular consultation 1: purposes and homes of Fuzzy Reasoning and Calculus and Clustering.
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Extra info for Artificial Intelligence and Soft Computing: 13th International Conference, ICAISC 2014, Zakopane, Poland, June 1-5, 2014, Proceedings, Part I
In: The Ninth International Conference on Condition Monitoring and Machinery Failure Prevention Technologies, London, June 12-14 (2012) 11. : Automatic validation of vibration signals in wind farm distributed monitoring systems. Measurement 44, 1954–1967 (2011) 12. : Performance evaluation for classiﬁcation methods: A comparative simulation study 13. : Artiﬁcial Neural Networks - Foundations and Applications. Academic Press PLJ, Warsaw (1994) (in Polish) 14. : The prediction and diagnosis of wind turbine faults.
In this algorithm, the weights of the entire network are treated as a single vector and their derivatives form the gradient vector g. Operation of the conjugate gradient algorithm is described below. 1. The choice of the initial weight vector. 2. The calculation of the gradient and the initial direction p1 of minimization p1 = −g1 (7) 3. The linear minimization along the selected direction wt+1 = wt + α∗ pt (8) where α∗ is the factor which minimizes the vector wt in direction pt . 4. Calculate the new values of weights.
To this point both simulations gave the same results. After that time point, the ﬁrst simulation - the ART-2 network - continued working with a classical algorithm. 4. 4) with both low and high values of vibrations whereas it should be divided into two separated clusters. Similar phenomena was observed many times during the simulation. Table 1. Details of simulation process using the proposed hybrid system Time 1 50 71 91 214 743 747 977 3000 5869 6253 11158 14382 16385 16797 22429 24493 26266 Observed actions 1-st class-neuron was added to new opened area 1 2-nd class-neuron was added to area 1 3-td class-neuron was added to area 1 4-rh class-neuron was added to area 1 5-th class-neuron was added to area 1 6-th class-neuron was added to area 1 7-th class-neuron was added to area 1 8-th class-neuron was added to area 1 Borders of area 1 were determined and area 2 was opened 1-st class-neuron was added to area 2 2-nd class-neuron was added to area 2 3-td class-neuron was added to area 2 4-th class-neuron was added to area 2 Borders of area 2 were determined and area 3 was opened 1-st class-neuron was added to area 3 2-nd class-neuron was added to area 3 Borders of area 3 were determined and area 4 was opened 1-st class-neuron was added to area 4 The second simulation - the hybrid system - determined borders of the system internal areas.
Artificial Intelligence and Soft Computing: 13th International Conference, ICAISC 2014, Zakopane, Poland, June 1-5, 2014, Proceedings, Part I by Leszek Rutkowski, Marcin Korytkowski, Rafal Scherer, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Zurada