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Category:All HeadlinesWorld & GeopoliticsMarkets & EconomyTech & AIPoliticsSearch results for: "Optimizing differential e" (30 stories)

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Optimizing interval type-2 fuzzy logic PID controller with an improved constraint differential evolution algorithm
Lead StoryNaturetech
Feb 25

Optimizing interval type-2 fuzzy logic PID controller with an improved constraint differential evolution algorithm

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFA1eEJkYk8wamRJcEVhNFdEeUpNYlVuZlh0SHQ3blVtVmJac0RxdkdGNTBJdFlNdTJzV2NRX2RuRmsyZ1JER3RfMTVtaUhnR1VlbDM1dmNFQ2dzTk45Z2RV?oc=5" target="_blank">Optimizing interval type-2 fuzzy logic PID controller with an improved constraint differential evolution algorithm</a>  <font color="#6f6f6f">Nature</font>

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Search Results for "Optimizing differential e"

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29 stories displayed
Neural ODE Framework Reduces Simulated HVAC Energy Use by Up to 48%
AZoBuildgeneral

Neural ODE Framework Reduces Simulated HVAC Energy Use by Up to 48%

<a href="https://news.google.com/rss/articles/CBMiW0FVX3lxTE5IQ2FkLURJMlBGMzBPNWRGSFEyYW9BeVpfX2ZYNTEzQkRIai1qWU9WYlptWDFDRWxOVXBlYzc2bFBIR3ViNnhjSGtTZEhQQWVhNlRyZUpTZXdYQm8?oc=5" target="_blank">Neural ODE Framework Reduces Simulated HVAC Energy Use by Up to 48%</a>  <font color="#6f6f6f">AZoBuild</font>

Optimizing differential equations to fit data and predict outcomes - Frank - 2023 - Ecology and Evolution
Wiley Online Librarygeneral

Optimizing differential equations to fit data and predict outcomes - Frank - 2023 - Ecology and Evolution

<a href="https://news.google.com/rss/articles/CBMiakFVX3lxTE56RDRUdjkwRkVTNDlfN29JSDUtYjhaNEc5a0dlMFBtbklNU1NwX3RYYlRweVFlWGFFMV9nM1p0RU91Nkg0MGI3dGdrek1JRFRzRkNTTjlvOUNJX1M0R1RWNmhhR2d5bWc2NFE?oc=5" target="_blank">Optimizing differential equations to fit data and predict outcomes - Frank - 2023 - Ecology and Evolution</a>  <font color="#6f6f6f">Wiley Online Library</font>

Automatic differentiation and the optimization of differential equation models in biology
Frontiersgeneral

Automatic differentiation and the optimization of differential equation models in biology

<a href="https://news.google.com/rss/articles/CBMinwFBVV95cUxNZ1R6VENrOUNYdllFZHVCN3MwbmR0QmMtQzg0U25qZEx5TDJod3NwNXFocnpNQjQ0M0RERG1FVFUtaE0wVDFRWS1uT29QWk9DaHdRRWV5SmlpQm02ZGxXZXlMd01tc09wMTd6MThoRV9HbnplcTVlbS12Sk53X3hxaXJsMlZaQWpRSVk1aU1sN3djOEo4SHozYTJVX1VzQlE?oc=5" target="_blank">Automatic differentiation and the optimization of differential equation models in biology</a>  <font color="#6f6f6f">Frontiers</font>

Simulation and optimal control of stochastic delay differential models for hepatitis C virus epidemics
Naturegeneral

Simulation and optimal control of stochastic delay differential models for hepatitis C virus epidemics

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5abDlkeUJyNkF3TnRDc3VXZVp1Zmo3VnA0aFNfbEVWYVNheXFHZldoNENGSEVMV1RsOUYwOXhZbUdYRl80ZG9iTUxWOEJfQW5FVDZKbmcwTmVUTU8yX0Fv?oc=5" target="_blank">Simulation and optimal control of stochastic delay differential models for hepatitis C virus epidemics</a>  <font color="#6f6f6f">Nature</font>

Neuro-Symbolic AI for Analytical Solutions of Differential Equations
alphaXivtech

Neuro-Symbolic AI for Analytical Solutions of Differential Equations

<a href="https://news.google.com/rss/articles/CBMiU0FVX3lxTE5LSW1wTnRrZXVVeF9vYlJuZHZic1pycWRpUFdUT29XQzlpdndYd3paNFh2aE4yT2JJWC1kVGdVVzhDdEU3Vi05T1hDLXJKTFdXUGdn?oc=5" target="_blank">Neuro-Symbolic AI for Analytical Solutions of Differential Equations</a>  <font color="#6f6f6f">alphaXiv</font>

TO‐NODE: Topology optimization with neural ordinary differential equation
Wiley Online Librarygeneral

TO‐NODE: Topology optimization with neural ordinary differential equation

<a href="https://news.google.com/rss/articles/CBMiaEFVX3lxTE1hUUZCMGtVcW9QVWlkU0hmZVVfWXZJQ0R1UWFBRGxKQTcxM3lEYUVoYnlCaXJJT29rbE1tNm50M0hhalhkVlFwRnpRdVNSMHhxMTFLTkl0RUtuZGhyMlI0SDhNWnN1cTZ6?oc=5" target="_blank">TO‐NODE: Topology optimization with neural ordinary differential equation</a>  <font color="#6f6f6f">Wiley Online Library</font>

Differential misestimation of maximum fluorescence yields can confound efforts to optimize photosynthesis
Natureworld

Differential misestimation of maximum fluorescence yields can confound efforts to optimize photosynthesis

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5QY0pobFM0U2ROZ01USnY3Tkh0aEd5bFFFbzkwRVVXUVh0aXJiN2pWTmRPNV9SdEw4QWg0eE9wVHFwVTdUVVEtQU15QWNaUmRQMnV1WUlFLXlLb2hqc0Y0?oc=5" target="_blank">Differential misestimation of maximum fluorescence yields can confound efforts to optimize photosynthesis</a>  <font color="#6f6f6f">Nature</font>

Optimizing differential expression analysis for proteomics data via high-performing rules and ensemble inference
Naturegeneral

Optimizing differential expression analysis for proteomics data via high-performing rules and ensemble inference

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9IV3hLWW9VbHFQVFYtcjBDSHo1c3QybVktRW1FNk5FSzJJUy15ZUIwTnZHNV91V1FVcVUyc21nTkJUMEdhSmFFR1RHN000UWVIdGw0VUlvSHFpOWJsT1Vj?oc=5" target="_blank">Optimizing differential expression analysis for proteomics data via high-performing rules and ensemble inference</a>  <font color="#6f6f6f">Nature</font>

Generative discovery of partial differential equations by learning from math handbooks
Naturegeneral

Generative discovery of partial differential equations by learning from math handbooks

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1ST3pYWEtnb3htWlVKNnI2REZWZV9YcndBUTJLdHpFeEs4bEtXMmxMMHU1cm1LeHpMMHM4M05NQkJIRHR0WjZadVhBQ2JTMWR1TEFaOC1lRU9ZeTNaelNV?oc=5" target="_blank">Generative discovery of partial differential equations by learning from math handbooks</a>  <font color="#6f6f6f">Nature</font>

A thermodynamic inspired AI based search algorithm for solving ordinary differential equations
Naturetech

A thermodynamic inspired AI based search algorithm for solving ordinary differential equations

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBILURkdmU5RlpqNGZmX3RpZElUdk12aHY2RUV3bm5NckpGOXVJb3V3MGhxMkt5UmhxRVdrZ3huY2tLX3pXRUFUN00taFl5cllWbEZJMUVQY3VLenc0ZjNF?oc=5" target="_blank">A thermodynamic inspired AI based search algorithm for solving ordinary differential equations</a>  <font color="#6f6f6f">Nature</font>

Neuro-computing solution for Lorenz differential equations through artificial neural networks integrated with PSO-NNA hybrid meta-heuristic algorithms: a comparative study
Naturegeneral

Neuro-computing solution for Lorenz differential equations through artificial neural networks integrated with PSO-NNA hybrid meta-heuristic algorithms: a comparative study

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBVczdrd294SHdHMlhYOTlkT0ZQVDk0ZFMzaVBRVWNlb2FsX1RPTzAwQUg3enhFd3FsbzIzYVBibXhwVTJPLVNGNDBOMDhBNW1RMUhPc3BjeUlTVHh6dTRF?oc=5" target="_blank">Neuro-computing solution for Lorenz differential equations through artificial neural networks integrated with PSO-NNA hybrid meta-heuristic algorithms: a comparative study</a>  <font color="#6f6f6f">Nature</font>

Intelligent regulation of university faculty interdisciplinary collaboration networks based on complex network topology evolution and stochastic differential equations
Natureworld

Intelligent regulation of university faculty interdisciplinary collaboration networks based on complex network topology evolution and stochastic differential equations

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5wZkZISUhYaDlDYWRDbTFhMkFUdE8zMzg4MVdLZnU0YTVXc0E0YW8tWXE0VlBNTlRoQ2dwc0tISWhhOVRXUXhhd3lGR0Nha3dUOEk1bHJIOURKdXBEX3Q0?oc=5" target="_blank">Intelligent regulation of university faculty interdisciplinary collaboration networks based on complex network topology evolution and stochastic differential equations</a>  <font color="#6f6f6f">Nature</font>

Multi-level physics informed deep learning for solving partial differential equations in computational structural mechanics
Naturegeneral

Multi-level physics informed deep learning for solving partial differential equations in computational structural mechanics

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBiRFVBRzZHbmpWRng5dXJLTEZnUjEwd1kzZHBndXB2ejVtSUJJM19CU2NYQTRScm5HaFVYblA0Z0t5aFpJTWs3Y1pRQmI2UGRKM1BvMVo5cW9PaWYyVGFv?oc=5" target="_blank">Multi-level physics informed deep learning for solving partial differential equations in computational structural mechanics</a>  <font color="#6f6f6f">Nature</font>

Solving real-world optimization tasks using physics-informed neural computing | Scientific Reports
Natureworld

Solving real-world optimization tasks using physics-informed neural computing | Scientific Reports

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE0zTDYtWGd2RjZITkxiZjUwSTlUU1M4QW9yN1Q1QzNlOExIN2ZFc2xuNlU2cmlEeUZFQ0JhRzFRTGFldXhYbjc0ZGlhUkVJZUhuTDBuWWN4RlBySHJSeVJV?oc=5" target="_blank">Solving real-world optimization tasks using physics-informed neural computing | Scientific Reports</a>  <font color="#6f6f6f">Nature</font>

New optimum solutions of nonlinear fractional acoustic wave equations via optimal homotopy asymptotic method-2 (OHAM-2)
Naturegeneral

New optimum solutions of nonlinear fractional acoustic wave equations via optimal homotopy asymptotic method-2 (OHAM-2)

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5oVHhRMlRiT0RNY29nemM4VGo0a01hblVmejBjNTNNMlVpQzRTbUNKVFYtb0VyX3NhWE5DVGFHUEllcUdvc2pfYzhGRnlHR2wzT1dUZFFHUEhQd2Y5X3Uw?oc=5" target="_blank">New optimum solutions of nonlinear fractional acoustic wave equations via optimal homotopy asymptotic method-2 (OHAM-2)</a>  <font color="#6f6f6f">Nature</font>

Inverse-design topology optimization of magnonic devices using level-set method | npj Spintronics
Naturegeneral

Inverse-design topology optimization of magnonic devices using level-set method | npj Spintronics

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE01T2c2YTlfOVNEMF9ZYmtqbXQxNUdUNUF2dEFyMlpxb05UZS1HN21CVHkxMklQelA2S3J4bHJ3Y19NUGFPcHlLZDYzTENSOXdMNVkwMmdRQ0ZOQUtTQzg0?oc=5" target="_blank">Inverse-design topology optimization of magnonic devices using level-set method | npj Spintronics</a>  <font color="#6f6f6f">Nature</font>

A novel multi-hybrid differential evolution algorithm for optimization of frame structures
Naturegeneral

A novel multi-hybrid differential evolution algorithm for optimization of frame structures

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE0yWl9PamZ4Y1hjYjNWY19zbTRuZVZwVV9fek5CRGlIRjZQRVBlMDgtN3p1VEd2MTA5eHdlNldkZ3B5WXVmMEdaaGpKWUtxcWN3LTJDQmRSV3EyeEVDb2NJ?oc=5" target="_blank">A novel multi-hybrid differential evolution algorithm for optimization of frame structures</a>  <font color="#6f6f6f">Nature</font>

Mini-batch optimization enables training of ODE models on large-scale datasets
Naturetech

Mini-batch optimization enables training of ODE models on large-scale datasets

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBvUGNJcHNPU3JTMWpjSklaRmNRYzZkWWFORzdMcXFVZXFsQnhGczJWdkVCUGIwSUdLb2IyVlA1SU42dVVsenFjZjJldVYzTWNfUlJZWnlMcTVVS2JQaVRB?oc=5" target="_blank">Mini-batch optimization enables training of ODE models on large-scale datasets</a>  <font color="#6f6f6f">Nature</font>

Nuclei discovered new practical insights via optimized soliton-like pulse analysis in a space fractional-time beta-derivatives equations
Naturescience

Nuclei discovered new practical insights via optimized soliton-like pulse analysis in a space fractional-time beta-derivatives equations

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE14Yi1wdVRDZ0pvYWEtZFU4RnVtTHQtTGpxd2Z2Y3FieVZabXp3VjQxM1A2QVpTN2NEVF83X0xwN2twUGxHV0pFVzRoUnFDaUtaMFNVcE9tX0p4MzljREQ0?oc=5" target="_blank">Nuclei discovered new practical insights via optimized soliton-like pulse analysis in a space fractional-time beta-derivatives equations</a>  <font color="#6f6f6f">Nature</font>

Accelerated optimization in deep learning with a proportional-integral-derivative controller
Naturegeneral

Accelerated optimization in deep learning with a proportional-integral-derivative controller

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5BeHBSbDN3c28tZUVsY3BNWUZCTFA4UUJ2TzAwdHlMQUhrM1dyaThweGJMR0FhLXNQb19NV0duLUIxdEZKeHoybHdhd2JQR0xuT3dzYnlIZG1GS0ZpM2ZN?oc=5" target="_blank">Accelerated optimization in deep learning with a proportional-integral-derivative controller</a>  <font color="#6f6f6f">Nature</font>

Control optimization of air traffic emissions in a two-variable dynamic model | Scientific Reports
Naturetech

Control optimization of air traffic emissions in a two-variable dynamic model | Scientific Reports

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1uWEQ3Q0lfbmc5bkE3VllfRXZmdll2ZDgya3JlZXZxMHRxcU1iNXZScmtMVzIxZkxOUUROay0wbW9JZzZJWndhY00zTkFXSlZhWWhNM3JGOUVjcVhmaVY4?oc=5" target="_blank">Control optimization of air traffic emissions in a two-variable dynamic model | Scientific Reports</a>  <font color="#6f6f6f">Nature</font>

Entropy driven optimization of non-linear radiative chemically reactive sutterby nanofluid flow in presence of gyrotactic micro-organism with Hall effect and activation energy
Naturegeneral

Entropy driven optimization of non-linear radiative chemically reactive sutterby nanofluid flow in presence of gyrotactic micro-organism with Hall effect and activation energy

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9YbzBrdEhxSjRyajJ3VUEwV1VwWDJ0V2Z3U0E4NDIyRkVzUFVpV0d0U0NUVHBWd045d3lfdWZkZDdLZVktYkJLb011VFhsQW52dEkyeDdkUWVFN05OWHhr?oc=5" target="_blank">Entropy driven optimization of non-linear radiative chemically reactive sutterby nanofluid flow in presence of gyrotactic micro-organism with Hall effect and activation energy</a>  <font color="#6f6f6f">Nature</font>

Physics-informed shape optimization using coordinate projection - Scientific Reports
Naturegeneral

Physics-informed shape optimization using coordinate projection - Scientific Reports

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5feDRBMS1rcW9TY0p4akp6M2dkR3BBdnhsSWNBREhfM0l6VENtMFd6cWxTeGdXNTg5cThVWlFPM0Jfby1qUTk4bXh1YTZzVzMtVjZ4WFMzTmM4cXRsd0Nj?oc=5" target="_blank">Physics-informed shape optimization using coordinate projection - Scientific Reports</a>  <font color="#6f6f6f">Nature</font>

Fractional-order analysis of a fear-induced ecoepidemiological predator–prey model with optimal control and bifurcation dynamics
Naturegeneral

Fractional-order analysis of a fear-induced ecoepidemiological predator–prey model with optimal control and bifurcation dynamics

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5WMm05MFJUZVRtNFlKOW50blRXOXl6SDczbjNhTkxQbGdqWmduWGl4QmZGRUVaTzFPTDBhbUQwSmNhNm4tVUNqUzBMX19FSmZmYzZYS20yS2wtNWlYanRr?oc=5" target="_blank">Fractional-order analysis of a fear-induced ecoepidemiological predator–prey model with optimal control and bifurcation dynamics</a>  <font color="#6f6f6f">Nature</font>

Optimal approximations for the free boundary problems of the space-time fractional Black-Scholes equations using a combined physics-informed neural network
Naturescience

Optimal approximations for the free boundary problems of the space-time fractional Black-Scholes equations using a combined physics-informed neural network

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE01Vk1zXzJBMjJjWFktaV9FLWZYc044UVFDOURUMHliM2ZDR0ZMMVJLbnhrbWhIbW5ZMzRXZGs0WXFaeGRZR3NWN09zaUx6bGhYRGJFNS1zdVpISU53U3h3?oc=5" target="_blank">Optimal approximations for the free boundary problems of the space-time fractional Black-Scholes equations using a combined physics-informed neural network</a>  <font color="#6f6f6f">Nature</font>

Discovering Differential Equations with Physics-Informed Neural Networks and Symbolic Regression
Towards Data Sciencegeneral

Discovering Differential Equations with Physics-Informed Neural Networks and Symbolic Regression

<a href="https://news.google.com/rss/articles/CBMi2AFBVV95cUxPWjdlWjN6aWs3ZXN3cHp1MW96bEpaNTFFVkpQemxnY2xLVGpSNk8tRFZJeWJjVnpjVktvLV9HeEN3SzcycnBSRVhUbmR0RWdxRlVWakZRNnMtTE1RcENxUmp2RW5xZjd6bVpRbXZERFZGUWloNkNmUVFTYXJHX081ckFucmVFS0NtNXB3RjdwT1NSdWlVOFpnN0VEMGRJd1B0NGhKZ2tUdllOb1M4WUg2QmUwUXNYN0Jpb1VjLXdkMG43Z3FWbXpVZk9BM3ZUVjZNUVgwLXBVanE?oc=5" target="_blank">Discovering Differential Equations with Physics-Informed Neural Networks and Symbolic Regression</a>  <font color="#6f6f6f">Towards Data Science</font>

On low Reynolds number optimization of non-linear partial differential equations for convergent–divergent engulfment: A numerical result
Wiley Online Librarygeneral

On low Reynolds number optimization of non-linear partial differential equations for convergent–divergent engulfment: A numerical result

<a href="https://news.google.com/rss/articles/CBMiakFVX3lxTE1NaEUzbjBPSDF4OU9WczdESVhfbGlXRzJjbWNJTHVWVXVUZnZhR3R2WjNKNHZUVGNITm85b3RQbW9TQVpqOUJMMUE5UjNzTmxqaDd1Um5sQzN6UzZuR01fb29NSjM3cGcwUkE?oc=5" target="_blank">On low Reynolds number optimization of non-linear partial differential equations for convergent–divergent engulfment: A numerical result</a>  <font color="#6f6f6f">Wiley Online Library</font>

Analysis and optimal control of a fractional order influenza epidemic model
Naturegeneral

Analysis and optimal control of a fractional order influenza epidemic model

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE84Q2Q0MXRsMWstaWRZQ0hUcWZjUV94ZkFBUjVILXk4ZGlCWUhXeVJsRnJSYlZyYWk2djNsZHlBLV81Y1FuV2d1TmZfME51RXctUXFacm81Uy0tenIzdmF3?oc=5" target="_blank">Analysis and optimal control of a fractional order influenza epidemic model</a>  <font color="#6f6f6f">Nature</font>

2025 Simons Collaboration on Hidden Symmetries and Fusion Energy Annual Meeting
Simons Foundationgeneral

2025 Simons Collaboration on Hidden Symmetries and Fusion Energy Annual Meeting

<a href="https://news.google.com/rss/articles/CBMiuwFBVV95cUxPeVlZZnBlMEtDQ05HT3IyTGJOSXVmRWNLM0VTUnZIbC0wUTRCbWFFdXZzQTdsT0JpVFRkeFZzbmIwdTY2NUNQNm45R1ZCcXl5T1FuYlJTV3M1NlJVajlZMy14aDhmOUF2dVV4WE9sUmZxRVNmNGYzSEJXQzZzQkh2UndNbGxrVkhJb2lrVXVYVU5CSUl6Y3ZLei01Z0xIYXdFRTh4OVpzVlpPQmxqbHU2aFNEZTBaUEd0RTJz?oc=5" target="_blank">2025 Simons Collaboration on Hidden Symmetries and Fusion Energy Annual Meeting</a>  <font color="#6f6f6f">Simons Foundation</font>

"Optimizing differential e" — Live Google News Trends & Headlines