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Titlebook: Artificial Intelligence and Soft Computing — ICAISC 2004; 7th International Co Leszek Rutkowski,J?rg H. Siekmann,Lotfi A. Zadeh Conference

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51#
發(fā)表于 2025-3-30 09:53:58 | 只看該作者
https://doi.org/10.1007/978-3-031-09978-6The main goal of this paper is to present, through some of main ANN models and based techniques, their capability in real world industrial dilemmas solution. Several examples of real world applications and especially industrial ones have been presented and discussed.
52#
發(fā)表于 2025-3-30 13:25:04 | 只看該作者
53#
發(fā)表于 2025-3-30 19:11:30 | 只看該作者
54#
發(fā)表于 2025-3-30 23:02:17 | 只看該作者
55#
發(fā)表于 2025-3-31 01:51:21 | 只看該作者
On ANN Based Solutions for Real-World Industrial RequirementsThe main goal of this paper is to present, through some of main ANN models and based techniques, their capability in real world industrial dilemmas solution. Several examples of real world applications and especially industrial ones have been presented and discussed.
56#
發(fā)表于 2025-3-31 06:48:48 | 只看該作者
57#
發(fā)表于 2025-3-31 11:34:55 | 只看該作者
Momentum Modification of the RLS AlgorithmsThis paper presents a momentum modification of two RLS algoritms: momentum RLS and UD momentum RLS, each in classical and linear version. All methods are tested on two standart benchmarks. The results are discussed.
58#
發(fā)表于 2025-3-31 13:31:30 | 只看該作者
59#
發(fā)表于 2025-3-31 18:45:58 | 只看該作者
Clifford Support Vector Machines for Classificationantage of this approach is that one requires only one CSVM which can admit multiple multivector inputs and it can carry multi-class classification. In contrast one would need many real valued SVMs for a multi-class problem which is time consuming.
60#
發(fā)表于 2025-4-1 01:03:16 | 只看該作者
Visualization of Hidden Node Activity in Neural Networks: II. Application to RBF Networksentations created by the hidden layers. Visualization of these representations leads to interesting conclusions about optimal architectures and training of such networks. The usefulness of visualization techniques is illustrated on parity problems solved with RBF networks.
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