Titlebook: Neural Nets and Surroundings; 22nd Italian Worksho Bruno Apolloni,Simone Bassis,Francesco Carlo Morab Book 2013 Springer-Verlag Berlin Heid

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書目名稱Neural Nets and Surroundings影響因子(影響力)




書目名稱Neural Nets and Surroundings影響因子(影響力)學(xué)科排名




書目名稱Neural Nets and Surroundings網(wǎng)絡(luò)公開度




書目名稱Neural Nets and Surroundings網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Neural Nets and Surroundings被引頻次




書目名稱Neural Nets and Surroundings被引頻次學(xué)科排名




書目名稱Neural Nets and Surroundings年度引用




書目名稱Neural Nets and Surroundings年度引用學(xué)科排名




書目名稱Neural Nets and Surroundings讀者反饋




書目名稱Neural Nets and Surroundings讀者反饋學(xué)科排名

omnibus

失眠癥

Control of Coffee Grinding with General Regression Neural Networks work, a general regression neural network approach is used to learn to control two grinders used for coffee production at LAVAZZA factory, obtaining average control error of the order of a few .m. The results appear promising for the future development of an automatic decision support system.

ineluctable

Defects Detection in Pistachio Nuts Using Artificial Neural Networks from the positive samples. A functional-link neural network is then used for the proper classification task. By means of a repeated cross-validation, the proposed solution showed a correct recognition rate of 99.6%, with a false positive rate of 0.3% with a single classifier and 0.1% with a combined one.

不可接觸

Measures of Brain Connectivity through Permutation Entropy in Epileptic Disorderst electrodes placed over the scalp, in order to simulate the network phenomena that occur in the brain. This technique was tested over two EEG recordings: a healthy subject and an epileptic subject affected by absence seizures.

維持

Explosive

A New System for Automatic Recognition of Italian Sign Languages-validation method on the Italian Sign Language Database A3LIS-147, maintaining the orthogonality between training and test sets. The obtained recognition accuracy averaged across all signers is 47.24%, which represents an encouraging result and demonstrates the effectiveness of the idea.

NAG

Artificial Neural Network (ANN) Morphological Classification of Magnetic Resonance Imaging in Multipumber of images. We can observe that the percentage of correct results on 21 images (93.81%) increased if compared to the study performed on 13 images (92.31%). This methodology could be used to monitor evolution in time of lesions of each patient and to correlate this to MS phases (i.e. to know if the lesions change their form).

捕鯨魚叉

Neural Moving Object Detection by Pan-Tilt-Zoom Camerasobject detection in image sequences taken from PTZ cameras, we present a neural-based background subtraction approach where the background model automatically adapts in a self-organizing way to changes in the scene background. Experiments conducted on real image sequences demonstrate the effectiveness of the presented approach.

明確