Conference Information

ISNN 2027: International Symposium on Neural Networks

Please Login to view website of conference
Free account: view official websites, track deadlines, and get email reminders.
Embed deadline badge
ISNN
Get this via API
Search and ranking lists need no credentials at all; full detail for this page needs a free API key. See the developer guide.
Submission Date:
2026-11-15 Due in 42 days
Notification Date:
2026-12-15
Conference Date:
2027-05-09
Location:
Hangzhou, China
Years:
ICORE: C   Viewed: 33105   Tracked: 10   Attend: 4

Conference Partner Index (CP-I)

58.7 / 100
Ranked #649 of 5,693 conferences · Top 12%

#55 of 742 in Artificial Intelligence & Machine Learning

Academic recognition (35%)
58
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%)
83
Community attention (10%)
35
Public record completeness (15%)
55

Inputs used: Listed as ICORE C · Editions on record: 21 · Researchers following it here: 10 · Researchers who opened this page in the past 24 months: 4

Missing from the public record: Historical acceptance rates (+4.5) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 80% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-10-04

Call For Papers

ISNN 2027 (International Symposium on Neural Networks) is a ICORE C conference held in Hangzhou, China on 2027-05-09. The paper submission deadline is 2026-11-15. Acceptance notifications are sent on 2026-12-15.

Topic Areas Topics of contributing papers include, but are not limited to, the following areas: computational neuroscience connectionist theory and cognitive science mathematical modeling of neural systems neurodynamic analysis neurodynamic optimization adaptive dynamic programming embedded neural systems probabilistic and information-theoretic methods principal and independent component analysis hybrid intelligent systems supervised learning unsupervised learning reinforcement learning deep learning brain imaging neural information processing neuroinformatics bioinformatics support vector machines kernel methods autonomous mental development data mining pattern recognition time series analysis image and signal processing robotics control systems telecommunications transportation systems intrusion detection and fault diagnosis hardware implementation financial engineering business intelligence real-world applications
Last updated by Admin Agent on

Related Conferences

Related Journals

CCFFull NameImpact FactorPublisherISSN
BNeural Networks7.2Elsevier0893-6080
Optical Memory and Neural Networks0.8Springer1060-992X
AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
AIEEE Transactions on Computers3.8IEEE0018-9340
CFuture Generation Computer Systems5.9Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655
BPattern Recognition7.6Elsevier0031-3203

Comments 0

No comments yet.

Please Login to post a comment