A Novel BN Learning Algorithm Based on Block Learning Strategy
نویسندگان
چکیده
منابع مشابه
On Comparison between Evolutionary Programming Network-based Learning and Novel Evolution Strategy Algorithm-based Learning
This paper presents two different evolutionary systems Evolutionary Programming Network (EPNet) [1] and Novel Evolutions Strategy (NES) Algorithm [2]. EPNet does both training and architecture evolution simultaneously, whereas NES does a fixed network and only trains the network. Five mutation operators proposed in EPNet to reflect the emphasis on evolving ANN’s behaviors. Close behavioral link...
متن کاملIntrusion Detection based on a Novel Hybrid Learning Approach
Information security and Intrusion Detection System (IDS) plays a critical role in the Internet. IDS is an essential tool for detecting different kinds of attacks in a network and maintaining data integrity, confidentiality and system availability against possible threats. In this paper, a hybrid approach towards achieving high performance is proposed. In fact, the important goal of this paper ...
متن کاملEconomic Load Dispatch using PSO Algorithm Based on Adaptive Learning Strategy Considering Valve point Effect
Abstract: In recent years due to problems such as population growth and as a result increase in demand for electrical energy, power systems have been faced with new challenges that not existed in the past. One of the most important issues in modern power systems is economic load dispatch, which is a complex optimization problem with a large number of variables and constraints. Due to the comple...
متن کاملthe impact of generative learning strategy use on efl learners’ reading achievement and critical thinking
این پژوهش کوشیده است تأثیر به کارگیری راهبردهای زایا را بر پیشرفت و بسندگی در خواندن و درک مطلب و نیز بر تفکر انتقادی زبان آموزان انگلیسی را بررسی کند. در این پژوهش تعداد 46 دانش آموز دختر در مقطع متوسطه اول به صورت تصادفی انتخاب وبه دو گروه تجربی و شاهد با تعداد دانش آموزان مساوی در هر گروه تقسیم شدند. به هر دو گروه سه داستان کوتاه به عنوان موضوع خواندن برای کلاس داده شد. به گروه تجربی درابتدا...
Two Novel Learning Algorithms for CMAC Neural Network Based on Changeable Learning Rate
Cerebellar Model Articulation Controller Neural Network is a computational model of cerebellum which acts as a lookup table. The advantages of CMAC are fast learning convergence, and capability of mapping nonlinear functions due to its local generalization of weight updating, single structure and easy processing. In the training phase, the disadvantage of some CMAC models is unstable phenomenon...
متن کاملذخیره 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: Sensors
سال: 2020
ISSN: 1424-8220
DOI: 10.3390/s20216357