The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
The technique of ice storage is the uppermost technical measure for the future in China, which can realize the “peak load shifting” and the Demand-Side Management, meliorate the contradictions between providing and demanding. Based on the ASHRAE (American Society of Heating, Refrigeration, and Air Conditioning Engineers) coefficient method and ANN (Artificial Neural Networks) method, the hourly temperature...
The instability of the concentration of CO2 in the system of CO2 refining is controlled by the following means: recognizing the system by neural net work; building the prediction model and the technological parameters optimization model of the system; predicting the key producing parameters which affect the concentration of CO2 the most; optimizing and controlling the key producing parameters by the...
After studying the disadvantage of BP neural network which has low convergent speed and trap into local minima easily, an idea of designing a new hybrid neural network model. By using Artificial Bee Colony Algorithm (ABC) to expand the updated space of weight and using the fitness functions to decide the better weight. On the basis, make the acquired better value as the weight of BP neural network...
This paper takes a kind of ceramic glaze as an example, and builds an improved BP neural network model for optimizing the formulation on ceramic glaze. The improved BP neural network adopts Levenberg-Marquardt algorithms. The paper reviews how to build the ceramic formulation optimization model based on BP artificial neural network, including the establishment of neural network, the training, and...
A GPU-accelerated OpenCL implementation of a back-propagation artificial neural network for the creation of QSAR models for drug discovery and virtual high-throughput screening is presented. A QSAR model for HSD achieved an enrichment of 5.9 and area under the curve of 0.83 on an independent data set which signifies sufficient predictive ability for virtual high-throughput screening efforts. The speed-up...
The Alcoholism is an addictive disorder, which causes social, physical, psychiatric and neurological damages on individuals. In this paper, Global Field Synchronization (GFS) measurements of multi channel ERP (Event Related Potential) signals in Delta, Theta, Alpha, Beta and Gamma frequency bands are used as discriminating feature vectors in the classification of alcoholic and non-alcoholic control...
Based on improved Elman neural network, establish soft sensor model for the station boiler pollution monitoring, which provides a theoretical basis for boiler soot blowing optimization strategy. Intelligent soot-blowing programmable control system combines the traditional blowing control with the soft sensor model, which is constructed by a modular approach, set online fouling monitor, data analysis,...
In future B3G/4G communication systems, the special application of femtocell in the enterprise offices and public places has broad prospect. However, as the femtocell operation under such multi-femtocell environment is significantly different from that of usual residential femtocells, the femtocell configuration and optimization might be much more complex. One key issue is to find how will the femtocell...
In this paper, artificial neural networks (ANNs) for modelling reflectarray periodic element is evaluated. A reflectarray antenna based on a 3-layer stacked patch element is chosen. Every element in the reflectarray must shift the phase of the reflection coefficient a given amount to obtain the prescribed radiation diagram. Different shifts are obtained from different geometrical configuration of...
This paper presents a computational study on the performance of reliability measures by using optimized ANN for computer networks with fixed and varying link reliabilities. This objective of this paper is to focus on the design of minimum cost reliable computer networks when a set of nodes, their topology, and links are given to connect them. A comparative study of various approaches for evaluating...
In this paper, a faster supervised algorithm (BPfast) for the neural network training is proposed that maximizes the derivative of sigmoid activation function during back-propagation (BP) training. BP adjusts the weights of neural network with minimizing an error function. Due to the presence of derivative information in the weight update rule, BP goes to `premature saturation' that slows down the...
Learning by observation is a useful goal for humanoid robots that strive for human-like motion. Over time the movements and actions of these robots are likely to require modification for different scenarios and environments. Therefore being able to `teach' the robot new tasks and motions without tedious programming is highly useful. The operational space formulation is a highly elegant robot manipulator...
In this document is presented the implementation of the programming schedules as a method of lighting control, to perform a total saving and a personalized saving using neural networks. With the acquisition of a series of data about the operation of five lightings located in different parts of a specific house, it was designed a neural network to illuminate it and was implemented this design to the...
Product quality plays an important role in facing competition and gaining competitiveness. Both Engineering Process Controllers (EPC) and Statistical Process Control (SPC) are effective methods of monitoring and adjusting the transition stages to improve process quality. At the same time, neural network was adopted to monitor the process and a flexible model is developed to determine optimal adjustable...
Standard BP neural network is a most representative algorithm in the neural network model. But shortcomings exist in its process of application. For example: it's hard to reach global optima, but can easily form local minimum, Low study efficiency and slow convergence rate appear because of the excessive training, the selection of the hidden layer nodes lack of theoretical guidance, in training, there...
The resource-constrained multi-project scheduling (RCMPS) is a NP-hard problem and has been extensively used in manufacturing and engineering fields. In order to solve scheduling of RCMPS, a new algorithm was presented in this paper. The new algorithm combines the some advantages of ACOA and NN . Finally, the algorithm was tested on a case of the RCMPS and the results were presented in the paper....
Due to the disadvantages of the ant algorithm used in the combining optimization in continuous space and the demerit of BP algorithm being vulnerable in the local optimum, the dynamics model of chaos ant colony has been introduced into the optimization of weights in neural network model. Therefore, the chaos ant colony neural network can have both extensive mapping ability of neural network and rapid...
In order to overcome the disadvantages such as low calculation precision and convergence rate of traditional BP neural network algorithm, a kind of nonlinear optimization method-BFGS method for unconstrained extreme problem is introduced into BP neural network algorithm, and a BFGS-BP neural network model is developed, which is applied well in structure deformation monitoring data processing and forecasting...
Sample database was established and the mapping relationship between span,rise-span ratios and type of shell with minimum weight was simulated by using BP neural network method. The selected typical samples were chosen from hundreds of sectional optimized results based on sequential two-level algorithm from five typical types of reticulated domes. This paper provides a simple lectotype optimization...
Bath temperature and alumina concentration are two important but hard to measure online parameters of aluminum reduction cell. To this problem, a novel method based on least squares support vector machine (LS-SVM) and chaos optimization is proposed to establish predictive models of the two parameters. This method employs chaos optimization technique to iterate and search in feasible regions so as...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.