DeepCreamPy takes the green colored images as input, and a neural network automatically fills in the censored regions. You can download the latest release for Windows 64-bit here. For users interested in compiling DeepCreamPy themselves, DeepCreamPy can run on Windows, Mac, and Linux. Please...
In this paper we have tried to propose a neural network based model to predict customer churn in telecommunication industry. We have than used Artificial Bee Colony (ABC) algorithm for neural network training and observed a substantial improvement in accuracy. To prove the efficacy of our model ...
ABC TRANSPORTERS,NEURAL STEM CELLS AND NEUROGENESIS-A DIFFERENT PERSPECTIVE Stem cells intrigue.They have the ability to divide exponentially,recreate the stem cell compartment,as well as cre-ate differentiated cells to generate ti... 被引量: 0发表: 2006年 ABC transporters, neural stem cells and ...
neural 神经的 词源同nerve,跟腱,筋,神经。 neural 的用法和双语例句“点击”或“选中”例句中的单词,就可以看到词义解释 The observation supports eisenberger 's hypothesis that a loved one 's presence diminishes pain by producing such feelings , rather than simply stimulating neural award systems , as ...
In this work, we introduce the neural relational inference (NRI) model: an unsupervised model that learns to infer interactions while simultaneously learning the dynamics purely from observational data. Our model takes the form of a variational auto-encoder, in which the latent code represents the ...
ncnn is a high-performance neural network inference computing framework optimized for mobile platforms. ncnn is deeply considerate about deployment and uses on mobile phones from the beginning of design. ncnn does not have third party dependencies, it is cross-platform, and runs faster than all ...
The latest generation of convolutional neural networks (CNNs) has achieved impressive results in the field of image classification. This paper is concerned with a new approach to the development of plant disease recognition model, based on leaf image classification, by the use of deep convolutional...
Overfitting is one of the most critical challenges in deep neural networks, and there are various types of regularization methods to improve generalization performance. Injecting noises to hidden units during training, e.g., dropout, is known as a successful regularizer, but it is still not clear...
Keywords: aroma data; e-nose; ABC; neural networks; sensors 1. Introduction Today, electronic nose technology is widely used in various fields, such as food quality, health-care, the defense industry, and environmental studies [1–3]. Frequently, odorant samples are measured with an electronic...
Objective:To get the optimal parameters of anthocyanins of black rice,artificial neural network(ANN) model of extracting anthocyanins was founded.Method:Based on the training of artificial neural networks using orthogonal arrays,a model for the productivity of anthocyanins as the output of the input ...