Multilayer Perceptron optimization through Simulated Annealing and Fast Simulated Annealing

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

Group Session Key Exchange Multilayer Perceptron Based Simulated Annealing

In this paper, a group session Key Exchange multilayer Perceptron based Simulated Annealing guided Automata and Comparison based Metamorphosed encryption technique (GSMLPSA) has been proposed in wireless communication of data/information. Both sender and receiver uses identical multilayer perceptron and depending on the final output of the both side multilayer perceptron, weights vector of hidd...

متن کامل

Fast Simulated Re - Annealing

An algorithm is developed to statistically find the best global fit of a nonlinear non-convex cost-function over a D-dimensional space. It is argued that this algorithm permits an annealing schedule for ''temperature'' T decreasing exponentially in annealing-time k, T = T 0 exp(−ck 1/D). The introduction of re-annealing also permits adaptation to changing sensitivities in the multi-dimensional ...

متن کامل

Optimization by simulated annealing.

There is a deep and useful connection between statistical mechanics (the behavior of systems with many degrees of freedom in thermal equilibrium at a finite temperature) and multivariate or combinatorial optimization (finding the minimum of a given function depending on many parameters). A detailed analogy with annealing in solids provides a framework for optimization of the properties of very ...

متن کامل

Simulated Annealing and Global Optimization

Nelder-Mead (when you don’t know ∇f ) and steepest descent/conjugate gradient (when you do). Both of these methods are based on attempting to generate a sequence of positions xk with monotonically decreasing f(xk) in the hopes that the xk → x∗, the global minimum for f . If f is a convex function (this happens surprisingly often), and has only one local minimum, these methods are exactly the ri...

متن کامل

Global optimization and simulated annealing

In this paper we are concerned with global optimization, which can be defined as the problem of finding points on a bounded subset of N" in which some real valued function f assumes its optimal (maximal or minimal) value. We present a stochastic approach which is based on the simulated annealing algorithm. The approach closely follows the formulation of the simulated annealing algorithm as orig...

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: Academic Journal on Computing, Engineering and Applied Mathematics

سال: 2020

ISSN: 2675-3588

DOI: 10.20873/ajceam.v1i2.9474