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Model Jaringan Saraf Tiruan untuk Variabel Tidak Pasti
The Implementation of Artificial Neural Network (ANN) model does not provide
optimal results in learning with the large quantity with inputs of many variable
and real time. The variable stated in matrix with plenty of quantity makes the
process in pattern recognition getting slow. A model is required to minimize input
for training and to recognize patterns faster. Variable recognition is required to
know the special characteristics of inputs which may represent all inputs using a
model. Artificial Neural Network also has weaknesses for arithmatic and data
processing the inputs not binary, with determining the degree of membership of
each variable. And, for each selection of variables with probability techniques
and linear programming. And data is expressed as row vectors and selected by
calculating the euclidean distance between each row vector. Furthermore, the
selected data can represent input for training. With the model algorithm which is
called as Artificial Neural Network Model for Uncertain Variabels, it helps solve
problems in the system. And validation is performed on an actuator, one of which
is the moving water wheel or not, by using variable dissolved oxygen, pH, salinity,
temperature, brightness, alkalinity, ammonia, water hardness to determine water
quality with Matrix Laboratory software.Penerapan Model Jaringan Saraf Tiruan (JST) belum memberikan hasil yang
optimal pada pembelajaran dengan input dari variabel yang banyak dan tidak pasti.
Jumlah variabel yang besar yang dinyatakan dalam bentuk matriks membuat
proses menjadi lambat dalam pengenalan pola. Dibutuhkan sebuah model yang
dapat meminimalkan variabel sebelum di lakukan pelatihan agar dapat mengenal
pola lebih cepat. Dibutuhkan pengenalan variabel yang hanya mengenali ciri khas
variabel yang dapat mewakili dari seluruh variabel dengan menggunakan sebuah
model. Jaringan Saraf Tiruan memiliki kelemahan untuk aritmatika dan pengolahan
data dalam input yang tidak bernilai biner, dengan menentukan derajat keanggotaan
masing-masing variabel. Dan untuk seleksi masing-masing variabel dengan teknik
probabilitas dan programing linear. Dan data dinyatakan sebagai vektor baris dan
diseleksi dengan menghitung jarak euclidean antara masing-masing vektor baris.
Selanjutnya data yang terseleksi tersebut dapat mewakili data untuk dilakukan
pelatihan. Dengan menggunakan model Jaringan Saraf Tiruan untuk Variabel
Tidak Pasti (VTP) membantu menyelesaikan permasalahan pada sistem. Dan validasi
dilakukan pada suatu aktuator salah satunya kincir air bergerak atau tidak, dengan
menggunakan variable dissolved oxygen, pH, salinitas, suhu, kecerahan, alkalinitas,
amonia, kesadahan air untuk menentukan kualitas air dengan software Matrix
Laboratory.118 HalamanDisertasi Dokto
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Pengantar Sistem Pakar dan Metode (Introduction of Expert System and Methods)
viii, 156 hlm.; Ind.: 26 c
Model Jaringan Syaraf Tiruan untuk Variabel tidak Pasti pada Kontrol Putaran Kincir Angin
Pemanfaatan sumber energi angin memberikan keuntungan dalam hal ramah lingkungan, menjadi sumber energi yang bisa diandalkan. Pemanfaatan kincir angin di dalam penggunaannya dibutuhkan kontrol agar penggunaannya dapat efisien. untuk putaran kincir angin. Dalam penelitian ini diimplementasikan pada model Jaringan Saraf Tiruan untuk Variabel Tidak Pasti yang diharapkan dapat memberikan solusi dalam menyelesaikan permasalahan terkait kincir angin. Pemanfatan kincir angain ini sebagai solusi dari pemanfaatan energi baru terbarukan, dari dampak emisi gas berbahaya dari sumber bahan bakar fosil. Serta Penggunaan minyak bumi, batu bara dan sumber energi fosil lainnya yang semakin lama semakin berkurang. Selanjuitnya model Jaringan Saraf Tiruan untuk Variabel Tidak Pasti ini menggunakan teknik probabilitas, derajat keanggotaan, fungsi logika OR, linear programing dan jarak euclidean untuk mengurangi proses pembelajaran. Pada penelitian terkait kontrol kincir angin ini menggunakan variabel tekanan udara, penyinaran matahari dan suhu untuk menentukan apakah kincir angin bergerak atau tidak. Akhirnya penelitian ini dengan model Jaringan Saraf Tiruan untuk Variabel Tidak Pasti ini diharapkan kedepan dapat menghasilkan sistem kontrol putaran kincir angin cerdas yang dapat digunakan untuk memprediksi terkait kontrol putaran kincir angin dengan data input yang bebeda
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