scholarly journals Neural Network Approach for Availability Indicator Prediction

2017 ◽  
Author(s):  
Małgorzata Kutyłowska
Keyword(s):  
Training Methods ◽  
Neural Network Approach ◽  
Failure Frequency ◽  
Promising Tool ◽  
Water Mains ◽  
Output Neurons ◽  
Experimental Values ◽  
Hidden Neurons ◽  
Quasi Newton ◽  
And Training

The principal aim of this research was to find out if artificial neuralnetworks could be employed to predict the availability factorfor water mains, distribution pipes and house connections.Modelling by means of artificial neural networks (ANNs) wascarried out using the Statistica 10.0 software package. Operatingdata from the years 1999–2005 were used to train the ANNswhile data from the next seven years of operation were usedto verify the model. The optimal model (characterized by thelowest mean-square error) contained 11 hidden neurons activatedby the exponential function. The linear function was usedto activate the 3 output neurons. 185 training epochs sufficed totrain the ANN, using the quasi-Newton method. The correlationbetween the availability indicator experimental values and themodelling results would remain high, amounting during modelverification to R2 = 0.740, R2 = 0.823, R2 = 0.992 for respectivelywater mains, distribution pipes and house connections. As theavailability indicator prediction example shows, the artificialneural networks are a promising tool enabling quick and easyanalysis of failure frequency. It is possible to train the ANN furtherand change the number of training epochs and hidden neuronsas well as the activation functions and training methods.

scholarly journals Prediction of Failure Frequency of Water-Pipe Network in the Selected City

2017 ◽  
Author(s):  
Małgorzata Kutyłowska
Keyword(s):  
Failure Rate ◽  
Failure Frequency ◽  
Input Signals ◽  
Water Mains ◽  
Output Neurons ◽  
Predicted Values ◽  
Hidden Layer ◽  
Water Meters ◽  
Quasi Newton ◽  
Operational Data

The paper presents the modelling results of failure rate of watermains, distribution pipes and house connections in one Polishcity. The prediction of failure frequency was performed usingartificial neural networks. Multilayer perceptron was chosen asthe most suitable for modelling purposes. Neural network architecturecontained 11 input signals (sale, production, consumptionand losses of water, number of water-meters, length andnumber of failures of water mains, distribution pipes and houseconnections). Three neurons (failure rates of three conduitstypes) were put to the output layer. One hidden layer, with hiddenneurons in the range 1-22, was used. Operating data fromyears 2005-2011 were used for training the network. Optimalmodel was verified using operational data from 2012. ModelMLP 11-10-3 was chosen as the best one for failure rate prediction.In this model hidden and output neurons were activatedby exponential function and the learning was done using quasi-Newton approach. During the learning process the correlation(R) and determination (R2) coefficients for water mains, distributionpipes and house connections equaled to 0.9921, 0.9842;0.8685, 0.7543 and 0.9945, 0.9891, respectively. The convergencesbetween real and predicted values seem to be, from engineeringpoint of view, satisfactory.

Imperatives of Cognitive and Affective Skills for Innovative Problem Solving: A Fresh Perspective

2014 ◽  
Vol 5 (2) ◽  
pp. 662-671
Author(s):  
Dr. Mohan Babu. G. N. ◽  
Sushravya. G. M.
Keyword(s):  
Developing Countries ◽  
Problem Solving ◽  
Design Methodology ◽  
Human Values ◽  
Training Methods ◽  
Educational Models ◽  
Innovative Design ◽  
Fresh Perspective ◽  
Affective Skills ◽  
And Training

Most educational models that prescribe teaching and training methods to groom school children into innovators fail to take a deeper view of engineering design methodology. Yet others tend to ignore the importance of human values which must be an integral part of any innovative design process.  In this paper, We would first disaggregate design capabilities into its constituent capabilities, namely, exploring, creating and converging capabilities, which we need to master to produce better products and services, and then show how the cognitive and affective skills proposed by Benjamin Bloom, and Anderson and Krathwohl in their educational models can directly and significantly contribute to these constituent capabilities. With an improved understanding of the eco-system needed for better design solutions, we suggest that the present education systems, especially in developing countries, be critically reviewed and reoriented from the perspective of producing quality innovative designers, regardless of the problem area.  

Bahaya Penggunaan Formalin Sebagai Pengawet Bahan Makanan

2020 ◽  
Vol 4 (1) ◽  
pp. 39
Author(s):  
Hasnidar Hasnidar ◽  
Andi Tamsil ◽  
Andi Akram
Keyword(s):  
Food Products ◽  
Target Group ◽  
Training Methods ◽  
Food Ingredients ◽  
Fresh Fish ◽  
The Public ◽  
Inappropriate Use ◽  
Salted Fish ◽  
Extension Activity ◽  
And Training

Fishery products are one of the products that have very limited durability and perishable so that the community, especially fishermen, preserve the product so that its freshness can last longer. One of the preservatives used is formalin, although it is very dangerous to human health. Some food products that contain formalin include: fresh fish, salted fish, tofu, wet noodles. Counseling on food safety needs to be continued widely to the public in various forms. This activity aims to educate and train partner groups on: 1) the dangers of formaldehyde on health; 2) characteristics of formalin food ingredients; 3) how to detect formalin foods; 4) eliminate / reduce formaldehyde levels in food products; 5) safe preservatives. The activities was carried out on February 7, 2019, in Desa Untia, Kecamatan Biringkanaya, Kota Makassar. The target group is fishermen and fisheries processors, as many as 23 people. The method used in service is counseling and training methods through lectures, discussions, and practice/training. The extension activity was attended by Untia village chiefs, local fisheries instructors, administrators of the All-Indonesian Fishermen Association (HNSI) and the target group. The activities went on smoothly and the target group enthusiastically attended counseling and training, because the knowledge/skills were needed to protect their families from the dangers of disease that could be caused by inappropriate use of formalin.

scholarly journals Restoring the real world records in Men’s swimming without high-tech swimsuits

2020 ◽  
Vol 16 (4) ◽  
pp. 291-300
Author(s):  
Zhenyu Gao ◽  
Yixing Li ◽  
Zhengxin Wang
Keyword(s):  
Real World ◽  
Technical Skills ◽  
High Tech ◽  
Training Methods ◽  
Strong Indication ◽  
The Real ◽  
The Past ◽  
Optimal Estimates ◽  
World Records ◽  
And Training

AbstractThe recently concluded 2019 World Swimming Championships was another major swimming competition that witnessed some great progresses achieved by human athletes in many events. However, some world records created 10 years ago back in the era of high-tech swimsuits remained untouched. With the advancements in technical skills and training methods in the past decade, the inability to break those world records is a strong indication that records with the swimsuit bonus cannot reflect the real progressions achieved by human athletes in history. Many swimming professionals and enthusiasts are eager to know a measure of the real world records had the high-tech swimsuits never been allowed. This paper attempts to restore the real world records in Men’s swimming without high-tech swimsuits by integrating various advanced methods in probabilistic modeling and optimization. Through the modeling and separation of swimsuit bias, natural improvement, and athletes’ intrinsic performance, the result of this paper provides the optimal estimates and the 95% confidence intervals for the real world records. The proposed methodology can also be applied to a variety of similar studies with multi-factor considerations.

Pruning and training.

2021 ◽  
Author(s):  
Lynette Morgan
Keyword(s):  
Plant Growth ◽  
Ornamental Plants ◽  
Training Methods ◽  
Aesthetic Value ◽  
Diverse Range ◽  
Horticultural Crops ◽  
Plant Form ◽  
Ease Of Access ◽  
The Aesthetic ◽  
And Training

Abstract Manipulation of plant growth via pruning and training methods has been carried out for as long as crops have been cultivated by man. These methods serve to not only improve the aesthetic value of ornamental plants, but also to increase yields, optimise fruit quality and prolong the productive life of horticultural crops. Pruning involves the selective removal of a diverse range of plant tissue. Branches, stems, roots, buds, flowers, leaves and young fruitlets may all be pruned depending on the purpose, species and growth form of the crop this is applied to. Training methods for horticultural applications are primarily used to support the plant and the weight of produce as it develops. Training structurally alters plant form, to alter the shape, size and direction of plant growth, it also allows optimal light interception and air flow and for ease of access for harvesting and other operations.

scholarly journals It's Not Just a Needlestick: Exploring Phlebotomists' Knowledge, Training, and Use of Comfort Measures in Pediatric Care to Improve the Patient Experience

2019 ◽  
Vol 3 (5) ◽  
pp. 847-856
Author(s):  
Julie Piazza ◽  
Sandra Merkel ◽  
Harry Neusius ◽  
Susan Murphy ◽  
Joan Gargaro ◽  
...  
Keyword(s):  
Child Development ◽  
Patient Experience ◽  
Pediatric Patients ◽  
Child Life ◽  
Patient Comfort ◽  
Pediatric Care ◽  
Training Methods ◽  
Hospital System ◽  
Topical Anesthetics ◽  
And Training

Abstract Background Blood draws are a routine element of the pediatric patient experience. They are also associated with the greatest fear and pain for a child. Because of the limited literature regarding phlebotomists' knowledge, experience, training, or stress related to their use of comfort techniques during pediatric blood draws, this study explored current practices and training methods. Phlebotomist training tends to focus on clinical technique rather than pediatric or patient comfort support. The study includes aims to develop a measurement for phlebotomists' use of comfort techniques for pediatric blood draws. Method Focus groups of parent advocates (n = 24) and pediatric phlebotomists (n = 11) reviewed the survey questionnaire, and it was revised before being e-mailed to hospital system phlebotomists (n = 128). Results Almost half of the sample group lacked training in child development. The most frequently used comfort measures were words of explanation and reassurance, positioning of the child, and distraction. Requesting child life specialist support and using pain management devices or topical anesthetics were used less often. Primary challenges to performing pediatric blood draws were anxious patients and parents. Conclusion Phlebotomists' use of available comfort measures occurs infrequently. Including child development and comfort techniques in training programs is essential to providing pediatric patients with a more satisfactory experience.

EXAMINING THE CHIR ALGORITHM PERFORMANCE FOR MULTILAYER NETWORKS AND CONTINUOUS INPUT VECTORS

1992 ◽  
Vol 03 (02) ◽  
pp. 157-165
Author(s):  
D. Saad ◽  
R. Sasson
Keyword(s):  
Network Architecture ◽  
Training Methods ◽  
Training Algorithm ◽  
Training Problem ◽  
Algorithm Performance ◽  
Internal Representations ◽  
Matrix Modification ◽  
Order Of Magnitude ◽  
Continuous Input ◽  
And Training

Learning by Choice of Internal Representations (CHIR) is a training algorithm presented by Grossman et al.1 based on modification of the Internal Representations (IR) along side of the direct weight matrix modification performed in conventional training methods. This algorithm was presented in several versions aimed to tackle the various training problems of nets with continuous and binary weights, multilayer and multi-output-neuron nets and training without storing the Internal Representations. The capability of one of these versions, the CHIR2 algorithm, to tackle multilayer training tasks of nets with continuous input vectors is examined in this paper. A comparison between the performance of this algorithm and of the Backpropagation algorithm2 is carried out via extensive computer simulations for the “two-spirals” problem, aimed to classify two classes of dots forming two intertwined spirals. The CHIR24 algorithm shows a rapid convergence rate for this problem, an order of magnitude faster than the results reported for the BP training algorithm (as well as those obtained by us) regarding the same training problem and network architecture.11 Moreover, the CHIR2 algorithm finds solution nets for the above mentioned problem with reduced architectures, reported as hard to solve by the BP training algorithm.11

Sign in / Sign up

Export Citation Format

Share Document