Titlebook: Advances in Neural Networks – ISNN 2018; 15th International S Tingwen Huang,Jiancheng Lv,Alexander V. Tuzikov Conference proceedings 2018 S

夜晚

Fast Convergent Capsule Network with Applications in MNISTn neural network. In this paper, a new activation function is proposed for the capsule network and the least weight loss is added to the loss function. The experiment shows that the improved capsule network improves the convergence speed of the network, increases the generalization ability, and makes the network more efficient.

為敵

Neural Network Model of Unconscious representatives of given class. These networks generate their self-reproducible descendants which can exchange patterns with each other and generate self-reproducible networks of a higher level representing wider classes of objects. We also give some examples of applications of this model.

煩憂

MINT

acrophobia

Complex-Valued Deep Belief Networksing of complex-valued deep neural networks. Experiments on the MNIST dataset using different network architectures show better results of the complex-valued networks compared to their real-valued counterparts, when complex-valued deep belief networks are used for pretraining them.

VAN

RLS898

重力

Conference proceedings 2018.The 98 revised regular papers presented in this volume were carefully reviewed and selected from 214 submissions. The papers cover many?topics of neural network-related research including intelligent control, neurodynamic analysis, bio-signal, bioinformatics and biomedical?engineering, clustering,

ARM

Iniquitous

Identification of Vessel Kinetics Based?on?Neural Networks via?Concurrent Learningh and stay bounded within a small neighborhood of ideal weights without a persistence of excitation condition. Finally, by resorting to the Lyapunov theory, the performance of the proposed kinetics identification method is analyzed.