A Recurrent Neural Network Linear B-Epitope Predictor: BIRUNI

نویسندگان

چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A Recurrent Neural Network Model for Solving Linear Semidefinite Programming

In this paper we solve a wide rang of Semidefinite Programming (SDP) Problem by using Recurrent Neural Networks (RNNs). SDP is an important numerical tool for analysis and synthesis in systems and control theory. First we reformulate the problem to a linear programming problem, second we reformulate it to a first order system of ordinary differential equations. Then a recurrent neural network...

متن کامل

Non-linear Predictive Control Based on a Recurrent Neural Network

Paulo Gil, Jorge Henriques, António Dourado and H. Duarte-Ramos email: {pgil, jh, dourado}@ dei.uc.pt; [email protected] CISUC Centro de Informática e Sistemas da Universidade de Coimbra Informatics Engineering Department, UC Pólo II, Pinhal de Marrocos 3030 Coimbra Portugal Phone: +351 39 790000, Fax: +351 39 701266 Electrical Engineering Department, UNL 2825 Monte da Caparica Portugal Phone...

متن کامل

A novel linear recurrent neural network for multivariable system identification

This paper proposes a novel linear recurrent neural network for multivariable system identification, namely a linerec neural network (LNN). Based on this network, the transfer function matrix model of a multivariable system can be identified directly according to its input and output data. In this way, LNNs differ from existing neural networks. An LNN is constructed based on the identification ...

متن کامل

A piecewise linear recurrent neural network structure and its dynamics

We present a piecewise linear recurrent neural network (PLRNN) structure by combining the canonical piecewise linear function with the autoregressive moving average (ARMA) model such that an augmented input space is partitioned into regions where an ARMA model is used in each. The piecewise linear structure allows for easy implementation, and in training, allows for use of standard linear adapt...

متن کامل

Solving Linear Semi-Infinite Programming Problems Using Recurrent Neural Networks

‎Linear semi-infinite programming problem is an important class of optimization problems which deals with infinite constraints‎. ‎In this paper‎, ‎to solve this problem‎, ‎we combine a discretization method and a neural network method‎. ‎By a simple discretization of the infinite constraints,we convert the linear semi-infinite programming problem into linear programming problem‎. ‎Then‎, ‎we use...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Southeast Europe Journal of Soft Computing

سال: 2018

ISSN: 2233-1859

DOI: 10.21533/scjournal.v7i2.165