This paper explored the topic of extended dissipativity analysis for Markovian jump neural networks (MJNNs) that were influenced by time-varying delays.A distinctive Lyapunov functional, distinguished by a non-zero delay-product types, was presented.This was achieved by combining milwaukee 49-22-5603 a Wirtinger-based double integral inequality wit
As the performance of a convolutional neural network is logarithmically proportional to the amount of training data, data augmentation has attracted increasing attention in recent years.Although the current data augmentation methods are efficient because they force the network to learn multiple parts of a given training image through occlusion or r
In this paper, a hybrid electricity price forecasting method which is composed of two-stage feature selection method and optimized adaptive neuro-fuzzy inference system (ANFIS) technique as a forecasting engine is proposed to accurately forecast electricity price.A multi-objective feature selection approach comprises of multi-objective binary-value
Ramadan is a lunar based month, during which Muslims across the world observe the ritual fast.This provides a challenge not only to the diabetic patient who wishes to observe the fast but also to the health care professional managing his diabetes.The challenge is to use therapies which are effective in maintaining good glycemic control and at the s
Nigeria is passing through a period of sm-f700fzkdnee uncertainty and pervasive economic recession which has further aggravated the problem of poverty and unemployment among Nigerian youths.These jobless youths take solace in all form of atrocities and social vices that pose a serious threat to sustainable development of the nation.This research to