[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"reports-detail-2026-06-14-week-ai-trends-zh-TW":3,"reports-algorithms":40},{"slug":4,"type":5,"extremeSubtype":6,"publishAt":7,"updateTime":8,"coverImage":9,"viewCount":10,"title":11,"metaTitle":12,"metaDesc":13,"summary":14,"content":15,"readMinutes":16,"related":17},"2026-06-14-week-ai-trends","weekly",null,"2026-06-15 00:35:00","2026-06-15 00:35:18","\u002Fstatic\u002Fog\u002F2026-06-14-week-ai-trends.jpg",0,"本週加拿大28：AI演算法表現與資料波動","2026 年 6 月加拿大28週報：AI演算法表現與資料趨勢","本週加拿大28焦點：AI演算法「凱利公式」與「隨機森林」表現優異，資料呈現單雙比例波動及極端事件頻現，值得關注。","本週加拿大28資料呈現單雙比例波動及極端事件頻現，「凱利公式」和「隨機森林」演算法表現優異，準確率持續穩定在 46.7% 左右。","## 週內資料波動概覽\n\n本週加拿大28總共開獎 2814 期，時間跨度從 2026 年 6 月 8 日至 6 月 14 日。大小比方面，大號占比 51.21%，小號占比 48.79%；單雙比則相對均衡，單數為 50.18%，雙數為 49.82%。\n\n從每日資料看，雙向趨勢明顯：週初大號比例較高，6 月 8 日達到 51%，而至週中（6 月 11 日）下降到 47.76%，後又逐步回升，6 月 14 日升至 55.22%。單雙比例方面，單數在 8 日高點後整體波動幅度較小，週平均基本維持在 50% 附近。\n\n## 熱號與跨度分佈分析\n\n本週熱號集中在和值區間 13 至 17，其中值 16 次數最多，出現 223 次，占比 7.92%。跨度分佈顯示，0 至 9 的跨度中，4 至 6 跨度較為集中，分別占比 14.5%、15.49%、13.96%；低跨度如 0 和 1 的出現頻率明顯較少。\n\n## AI 演算法表現與週冠軍揭曉\n\n本週 AI 演算法表現值得一提，總體綜合命中率為 41.57%，表現穩定且超出理論期望值。其中「凱利公式」與「隨機森林」演算法尤為突出，均以 46.7% 的綜合命中率位列前兩名，同時樣本量達到 11256 期，驗證了其穩定性。\n\n### 週冠軍 TOP3\n\n- **凱利公式**：綜合命中率 46.7%，在大小及單雙維度均表現出色。\n- **隨機森林**：命中率同為 46.7%，特別是數值預測能力得到肯定。\n- **本地熵演算法**：命中率略低於冠亞軍，為 46.31%，但依然值得關注。\n\n## 罕見事件回顧\n\n極端事件頻現成為本週另一大亮點。6 月 8 日至 6 月 14 日期間，總和極值 27 出現數次，而如豹子號 9+9+9、0+0+0 等罕見組合也多次亮相，機率僅為百萬分之一。特別是 6 月 12 日，總和值為 0 的開獎被記錄，此類事件過去一年出現機率不足 0.01%。\n\n---\n\n本週加拿大28資料波動顯現較強規律性，演算法表現穩定，極端事件頻率上升，使得資料解讀更具挑戰性與趣味性。",3,[18,27,34],{"slug":19,"type":20,"extremeSubtype":21,"publishAt":22,"coverImage":23,"viewCount":10,"title":24,"summary":25,"readMinutes":26},"2026-07-26-extreme-triple-3","extreme","E1","2026-07-26 07:10:12","\u002Fstatic\u002Fog\u002F2026-07-26-extreme-triple-3.jpg","震撼！豹子號3+3+3再現","加拿大28第3461618期再現豹子號，3+3+3開出，理論機率僅1%，極其罕見。",1,{"slug":28,"type":29,"extremeSubtype":6,"publishAt":30,"coverImage":31,"viewCount":10,"title":32,"summary":33,"readMinutes":16},"2026-07-25-ai-performance-review","daily","2026-07-26 00:30:00","\u002Fstatic\u002Fog\u002F2026-07-25-ai-performance-review.jpg","AI 命中率揭秘：昨日五強爭鳴","昨日AI演算法命中率揭曉，五強成績較為接近，後三名出現明顯波動，倍受關注。",{"slug":35,"type":20,"extremeSubtype":21,"publishAt":36,"coverImage":37,"viewCount":10,"title":38,"summary":39,"readMinutes":26},"2026-07-26-extreme-triple-4","2026-07-26 00:27:40","\u002Fstatic\u002Fog\u002F2026-07-26-extreme-triple-4.jpg","震撼！豹子號4+4+4時隔一天再現","加拿大28第3461503期再現豹子號4+4+4，理論機率僅1%，距上次僅隔一天，罕見連現引熱議。",[41,46,52,57,63,69,75,81,87,93,99,105,111,117,123,129,135,141,146,152,158,164,170,176,182,188,194,200,206,212],{"code":42,"nameZhCn":43,"nameZhTw":44,"nameEnUs":45,"sortOrder":26},"quantum_probability","量子概率引擎","量子機率引擎","Quantum Probability Engine",{"code":47,"nameZhCn":48,"nameZhTw":49,"nameEnUs":50,"sortOrder":51},"deep_neural_network","深度神经网络","深度神經網路","Deep Neural Network",2,{"code":53,"nameZhCn":54,"nameZhTw":55,"nameEnUs":56,"sortOrder":16},"genetic_evolution","遗传进化算法","遺傳進化演算法","Genetic Evolution Algorithm",{"code":58,"nameZhCn":59,"nameZhTw":60,"nameEnUs":61,"sortOrder":62},"markov_chain","马尔可夫链","馬可夫鏈","Markov Chain",4,{"code":64,"nameZhCn":65,"nameZhTw":66,"nameEnUs":67,"sortOrder":68},"deep_learning","深度学习","深度學習","Deep Learning",5,{"code":70,"nameZhCn":71,"nameZhTw":72,"nameEnUs":73,"sortOrder":74},"bayesian","贝叶斯推理","貝氏推論","Bayesian Inference",6,{"code":76,"nameZhCn":77,"nameZhTw":78,"nameEnUs":79,"sortOrder":80},"random_forest","随机森林","隨機森林","Random Forest",7,{"code":82,"nameZhCn":83,"nameZhTw":84,"nameEnUs":85,"sortOrder":86},"lstm","LSTM 长短期记忆","LSTM 長短期記憶","LSTM Network",8,{"code":88,"nameZhCn":89,"nameZhTw":90,"nameEnUs":91,"sortOrder":92},"monte_carlo","蒙特卡洛模拟","蒙地卡羅模擬","Monte Carlo Simulation",9,{"code":94,"nameZhCn":95,"nameZhTw":96,"nameEnUs":97,"sortOrder":98},"clustering","聚类追踪","聚類追蹤","Cluster Tracking",10,{"code":100,"nameZhCn":101,"nameZhTw":102,"nameEnUs":103,"sortOrder":104},"volatility","波动率","波動率","Volatility",11,{"code":106,"nameZhCn":107,"nameZhTw":108,"nameEnUs":109,"sortOrder":110},"edge_value","边缘值","邊緣值","Edge Value",12,{"code":112,"nameZhCn":113,"nameZhTw":114,"nameEnUs":115,"sortOrder":116},"anti_martingale","反马丁格尔","反馬丁格爾","Anti-Martingale",13,{"code":118,"nameZhCn":119,"nameZhTw":120,"nameEnUs":121,"sortOrder":122},"ensemble_voting","综合投票","綜合投票","Ensemble Voting",14,{"code":124,"nameZhCn":125,"nameZhTw":126,"nameEnUs":127,"sortOrder":128},"momentum","动量加速度","動量加速度","Momentum",15,{"code":130,"nameZhCn":131,"nameZhTw":132,"nameEnUs":133,"sortOrder":134},"quantile","分位数","分位數","Quantile",16,{"code":136,"nameZhCn":137,"nameZhTw":138,"nameEnUs":139,"sortOrder":140},"double_step_transition","双步转移","雙步轉移","Double-Step Transition",17,{"code":142,"nameZhCn":143,"nameZhTw":143,"nameEnUs":144,"sortOrder":145},"local_entropy","局部熵","Local Entropy",18,{"code":147,"nameZhCn":148,"nameZhTw":149,"nameEnUs":150,"sortOrder":151},"residual_trend","残差趋势","殘差趨勢","Residual Trend",19,{"code":153,"nameZhCn":154,"nameZhTw":155,"nameEnUs":156,"sortOrder":157},"streak_length","连势长度","連勢長度","Streak Length",20,{"code":159,"nameZhCn":160,"nameZhTw":161,"nameEnUs":162,"sortOrder":163},"decay_missing","衰减遗漏","衰減遺漏","Decay Missing",21,{"code":165,"nameZhCn":166,"nameZhTw":167,"nameEnUs":168,"sortOrder":169},"rule_voting","规则投票","規則投票","Rule Voting",22,{"code":171,"nameZhCn":172,"nameZhTw":173,"nameEnUs":174,"sortOrder":175},"cold_hot_balance","冷热平衡","冷熱平衡","Cold-Hot Balance",23,{"code":177,"nameZhCn":178,"nameZhTw":179,"nameEnUs":180,"sortOrder":181},"kelly","凯利公式","凱利公式","Kelly Criterion",24,{"code":183,"nameZhCn":184,"nameZhTw":185,"nameEnUs":186,"sortOrder":187},"mean_reversion","均值回归","均值回歸","Mean Reversion",25,{"code":189,"nameZhCn":190,"nameZhTw":191,"nameEnUs":192,"sortOrder":193},"autocorrelation","自相关","自相關","Autocorrelation",26,{"code":195,"nameZhCn":196,"nameZhTw":197,"nameEnUs":198,"sortOrder":199},"fibonacci","斐波那契","費波那契","Fibonacci",27,{"code":201,"nameZhCn":202,"nameZhTw":203,"nameEnUs":204,"sortOrder":205},"miss_chase","遗漏追热","遺漏追熱","Miss Chase",28,{"code":207,"nameZhCn":208,"nameZhTw":209,"nameEnUs":210,"sortOrder":211},"number_combination","数字组合","數字組合","Number Combination",29,{"code":213,"nameZhCn":214,"nameZhTw":215,"nameEnUs":216,"sortOrder":217},"recent_chain","近链推演","近鏈推演","Recent Chain",30]