Absolute exponential stability of recurrent neural networks with generalized activation function.

In this paper, the recurrent neural networks (RNNs) with a generalized activation function class is proposed. In this proposed model, every component of the neuron's activation function belongs to a convex hull which is bounded by two odd symmetric piecewise linear functions that are convex or concave over the real space. All of the convex hulls are composed of generalized activation function classes.

A linear matrix inequality (LMI) approach to robust H/sub 2/ sampled-data control for linear uncertain systems.

In this paper, we consider the H/sub 2/ sampled-data control for uncertain linear systems by the impulse response interpretation of the H/sub 2/ norm. Two H/sub 2/ measures for sampled-data systems are considered. The robust optimal control procedures subject to these two H/sub 2/ criteria are proposed.

[Proteomic analysis of differentially expressed proteins in human hepatoma SMMC-7721 cells induced by Fufang Banmao capsule serum].

Objective: To investigate the effects of Fufang Banmao capusle on the proteome of SMMC-7721 cells and discover potential molecular mechanism of anti-cancer at molecular level.

Method: SMMC-7721 cells were treated by Fufang Banmao capusle serum prepared with serum pharmacological method; proteomic protocol involving 2-DE, image analysis and mass spectrometry were used to detect the proteins in cells influenced by Fufang Banmao capusle.

Result: Approximately 450 protein spots in SMMC-7721 cells were resolved and detected in 2-D gel maps from pH3-10L IEF.